Cloudera - CDP-Data-Analyst-Exam-CDP:4001 Practice Paper

Which of the following data visualization types is best suited for showing the distribution of a single continuous variable?

Bar Chart Histogram Scatter Plot Line Chart Pie Chart

You are analyzing website traffic data and want to identify trends in user behavior over time. Which visualization would be most effective for this purpose?

Heat Map Line Chart Scatter Plot Tree Map Bar Chart

What is the primary purpose of using a color palette in data visualizations?

To enhance the aesthetic appeal of the visualization. To differentiate between data categories and highlight key insights. To add visual interest and engagement to the visualization. To improve the readability and accessibility of the visualization for all users. To ensure consistency in color usage across different visualizations.

You are building a dashboard to track customer satisfaction scores over time. Which of the following visualization techniques would be most appropriate for showcasing the overall trend and any significant deviations from the average?

Scatter Plot Stacked Bar Chart Line Chart with a moving average Heat Map Pie Chart

Which of the following statements is TRUE about using annotations in data visualizations?

Annotations should be used sparingly to avoid cluttering the visualization. Annotations are primarily for aesthetic purposes and do not contribute to the interpretation of data. Annotations should only be used to highlight positive trends and avoid highlighting negative ones. Annotations should be consistent in size, style, and color throughout the visualization. Annotations should always be placed in a prominent position to ensure they are easily noticed.

Which Cloudera Data Visualization component allows you to create a dashboard and embed it into a web... This content requires a subscription. Please subscribe here.

Cloudera Manager Cloudera Data Platform (CDP) Data Catalog Access restricted. Please log in to view. Access restricted. Please log in to view. Cloudera Shared Data Experience (SDX)

You want to create a dashboard that dynamically updates based on user interaction with a filter. Whi... This content requires a subscription. Please subscribe here.

Gauge Chart Filter Access restricted. Please log in to view. Access restricted. Please log in to view. Line Chart

Which of the following features allows you to incorporate external data into your Cloudera Data Visu... This content requires a subscription. Please subscribe here.

Data Source Connections Data Preprocessing Access restricted. Please log in to view. Access restricted. Please log in to view. Data Integration

You have a dashboard with several visualizations. Which feature allows you to group these visualizat... This content requires a subscription. Please subscribe here.

Data Sources Data Filters Access restricted. Please log in to view. Access restricted. Please log in to view. Visualization Types

You want to display sales data for different regions on a map. Which visualization type would be mos... This content requires a subscription. Please subscribe here.

Gauge Chart Line Chart Access restricted. Please log in to view. Access restricted. Please log in to view. Table

You need to pull data from a specific table called "customer_transactions" within the database "reta... This content requires a subscription. Please subscribe here.

DESCRIBE retail_data.customer_transactions; SHOW TABLES IN retail_data LIKE 'customer_transactions'; Access restricted. Please log in to view. Access restricted. Please log in to view. SHOW COLUMNS IN retail_data.customer_transactions;

You need to analyze data from multiple tables within the "marketing_campaigns" database. The databas... This content requires a subscription. Please subscribe here.

DESCRIBE marketing_campaigns; SHOW TABLES IN marketing_campaigns; Access restricted. Please log in to view. Access restricted. Please log in to view. SHOW CREATE TABLE marketing_campaigns;

You need to access tables within the "financial_data" database, but you are unsure of the table name... This content requires a subscription. Please subscribe here.

DESCRIBE financial_data LIKE 'stock_prices'; SHOW TABLES IN financial_data LIKE 'stock_prices%'; Access restricted. Please log in to view. Access restricted. Please log in to view. SHOW CREATE TABLE financial_data LIKE 'stock_prices%';

You need to retrieve data from tables within the "sales_data" database. Your analysis requires data ... This content requires a subscription. Please subscribe here.

DESCRIBE sales_data.order_details, sales_data.customer_info, sales_data.product_catalog; SHOW TABLES IN sales_data WHERE table_name IN ('order_details', 'customer_info', 'product_catalog'); Access restricted. Please log in to view. Access restricted. Please log in to view. SHOW CREATE TABLE sales_data.order_details, sales_data.customer_info, sales_data.product_catalog;

You are working with a large dataset stored in Impala, and you need to analyze the distribution of s... This content requires a subscription. Please subscribe here.

SHOW TABLES IN sales LIKE 'region_%' OR LIKE 'sales_region_%'; SHOW TABLES IN sales WHERE table_name LIKE 'region_%' OR table_name LIKE 'sales_region_%'; Access restricted. Please log in to view. Access restricted. Please log in to view. SHOW CREATE TABLE sales LIKE 'region_%' OR LIKE 'sales_region_%';

You have a Hive table with a column named 'product_price' stored as a string. You need to convert it... This content requires a subscription. Please subscribe here.

ALTER TABLE products MODIFY COLUMN product_price DECIMAL(10,2); ALTER TABLE products ADD COLUMN product_price_decimal DECIMAL(10,2) AS (CAST(product_price AS DECIMAL(10,2))); Access restricted. Please log in to view. Access restricted. Please log in to view. SELECT REPLACE(product_price, ',', '.') AS product_price_decimal FROM products;

You're working with a Hive table containing a 'timestamp' column, which stores timestamps as strings... This content requires a subscription. Please subscribe here.

ALTER TABLE events MODIFY COLUMN timestamp TIMESTAMP; SELECT CAST(timestamp AS TIMESTAMP) AS timestamp_converted FROM events; Access restricted. Please log in to view. Access restricted. Please log in to view. SELECT CONVERT(timestamp, TIMESTAMP, 'yyyy-MM-dd HH:mm:ss') AS timestamp_converted FROM events;

You are analyzing user activity data in a Hive table. The 'user_agent' column stores the browser inf... This content requires a subscription. Please subscribe here.

SELECT SPLIT(user_agent, ' ')[0] AS browser_name FROM user_activity; SELECT SUBSTR(user_agent, 1, INSTR(user_agent, ' ') - 1) AS browser_name FROM user_activity; Access restricted. Please log in to view. Access restricted. Please log in to view. SELECT TRIM(user_agent) AS browser_name FROM user_activity;

You have a Hive table with a 'customer_id' column, which is stored as a string. However, you know t... This content requires a subscription. Please subscribe here.

SELECT CAST(customer_id AS INTEGER) AS customer_id_int FROM customers; SELECT customer_id + 0 AS customer_id_int FROM customers; Access restricted. Please log in to view. Access restricted. Please log in to view. SELECT CONVERT(customer_id, INTEGER) AS customer_id_int FROM customers;

You're analyzing a Hive table containing website traffic data, and the 'page_views' column stores th... This content requires a subscription. Please subscribe here.

SELECT CASE WHEN page_views IN ('N/A', 'unknown') THEN 0 ELSE CAST(page_views AS INT) END AS page_views_int FROM website_traffic; SELECT COALESCE(page_views, 0) AS page_views_int FROM website_traffic; Access restricted. Please log in to view. Access restricted. Please log in to view. SELECT REPLACE(page_views, 'N/A', '0') AS page_views_int FROM website_traffic;

You have two Hive tables, 'customers' and 'orders', that you need to join to analyze customer purcha... This content requires a subscription. Please subscribe here.

INNER JOIN LEFT OUTER JOIN Access restricted. Please log in to view. Access restricted. Please log in to view. CROSS JOIN

You have a table 'products' with columns 'product_id', 'product_name', and 'category'. You need to j... This content requires a subscription. Please subscribe here.

SELECT p.product_name, s.sale_date FROM products p JOIN sales s ON p.product_id = s.product_id WHERE s.sale_date = '2023-03-15' SELECT p.product_name, s.sale_date FROM products p INNER JOIN sales s ON p.product_id = s.product_id WHERE s.sale_date = '2023-03-15' Access restricted. Please log in to view. Access restricted. Please log in to view. SELECT p.product_name, s.sale_date FROM products p FULL OUTER JOIN sales s ON p.product_id = s.product_id WHERE s.sale_date = '2023-03-15'

You need to perform a join between two Hive tables, 'users' and 'transactions', to analyze user acti... This content requires a subscription. Please subscribe here.

You can directly join the tables using the 'user_id' column without any data type conversion. You need to explicitly convert the 'user_id' column in the 'transactions' table to INT before joining. Access restricted. Please log in to view. Access restricted. Please log in to view. Hive automatically handles data type conversion during joins, so no explicit conversion is required.

You are working with two tables in Hive: 'employees' and 'departments'. You want to retrieve employe... This content requires a subscription. Please subscribe here.

INNER JOIN LEFT OUTER JOIN Access restricted. Please log in to view. Access restricted. Please log in to view. CROSS JOIN

You have two Hive tables: 'products' and 'orders'. You need to join these tables to analyze product ... This content requires a subscription. Please subscribe here.

SELECT * FROM products p JOIN orders o ON p.product_id = o.product_id WHERE o.order_date >= DATE_SUB(CURRENT_DATE, INTERVAL 30 DAY)

SELECT * FROM products p INNER JOIN orders o ON p.product_id = o.product_id WHERE o.order_date >= DATE_SUB(CURRENT_DATE, INTERVAL 30 DAY)

Access restricted. Please log in to view. Access restricted. Please log in to view.

SELECT * FROM products p FULL OUTER JOIN orders o ON p.product_id = o.product_id WHERE o.order_date >= DATE_SUB(CURRENT_DATE, INTERVAL 30 DAY)

You have two Hive tables, 'Customers' and 'Orders', with a one-to-many relationship. 'Customers' has... This content requires a subscription. Please subscribe here.

Use a foreign key constraint with 'ON DELETE CASCADE' in Hive. Use a 'DROP TABLE' statement with the 'CASCADE' option to delete both tables at once. Access restricted. Please log in to view. Access restricted. Please log in to view. Hive does not support foreign key constraints or triggers, so you need to implement this logic manually using custom scripts.

You have a Hive table 'Products' with columns 'product_id', 'product_name', and 'category_id'. You w... This content requires a subscription. Please subscribe here.

Use an ALTER TABLE statement to add a foreign key constraint directly to the 'Products' table. Define a 'FOREIGN KEY' clause within the CREATE TABLE statement for 'Products'. Access restricted. Please log in to view. Access restricted. Please log in to view. Hive does not directly support foreign key constraints, so you need to enforce the relationship manually through data validation or custom scripts.

You are working with two Hive tables: 'Employees' (with 'employee_id' as the primary key) and 'Depar... This content requires a subscription. Please subscribe here.

SELECT e.employee_name, d.department_name FROM Employees e LEFT JOIN Departments d ON e.department_id = d.department_id;

SELECT e.employee_name, d.department_name FROM Employees e INNER JOIN Departments d ON e.department_id = d.department_id;

Access restricted. Please log in to view. Access restricted. Please log in to view.

SELECT e.employee_name, d.department_name FROM Employees e CROSS JOIN Departments d;

You have a Hive table 'Transactions' with columns 'transaction_id', 'customer_id', and 'amount'. 'C... This content requires a subscription. Please subscribe here.

SELECT c.customer_id, SUM(t.amount) AS total_spent FROM Transactions t JOIN Customers c ON t.customer_id = c.customer_id GROUP BY c.customer_id;

SELECT t.customer_id, SUM(t.amount) AS total_spent FROM Transactions t GROUP BY t.customer_id;

Access restricted. Please log in to view. Access restricted. Please log in to view.

SELECT c.customer_id, t.amount AS total_spent FROM Transactions t JOIN Customers c ON t.customer_id = c.customer_id;

You are working with a Hive table 'Employees' with 'employee_id' as the primary key. You need to ins... This content requires a subscription. Please subscribe here.

Use the INSERT INTO statement without specifying any conditions for 'employee_id'. Use a UNIQUE constraint on the 'employee_id' column during table creation. Access restricted. Please log in to view. Access restricted. Please log in to view. Hive does not support unique constraints, so you need to handle this logic manually using custom scripts or checks before inserting new data.

Which of the following is NOT a benefit of using Apache Atlas to inspect lineage in a data pipeline?

Identify data sources and sinks for a specific dataset. Track data transformations and their impact on data quality. Access restricted. Please log in to view. Access restricted. Please log in to view. Directly enforce data security policies based on lineage insights.

You have a data pipeline with multiple transformations applied to a source dataset. How can you use ... This content requires a subscription. Please subscribe here.

View the lineage graph for the dataset and analyze the transformation nodes. Use the Atlas UI to filter lineage by specific transformations. Access restricted. Please log in to view. Access restricted. Please log in to view. None of the above.

Consider a scenario where you need to identify the downstream impacts of changes made to a specific ... This content requires a subscription. Please subscribe here.

Data Lineage Data Quality Access restricted. Please log in to view. Access restricted. Please log in to view. Data Security

You are working with a complex data pipeline involving multiple data sources, transformations, and s... This content requires a subscription. Please subscribe here.

Define data quality rules for each stage of the pipeline. Map data lineage relationships across all components. Access restricted. Please log in to view. Access restricted. Please log in to view. B and C.

Which of the following code snippets demonstrates how to access lineage information for a specific d... This content requires a subscription. Please subscribe here.

import com.linkedin.atlas.client.AtlasClient; AtlasClient client = new AtlasClient.Builder().build(); List entities = client.getEntityLineage("datasetName");

import com.linkedin.atlas.client.AtlasClient; AtlasClient client = new AtlasClient.Builder().build(); List entities = client.getEntityLineage("datasetName", true);

Access restricted. Please log in to view. Access restricted. Please log in to view.

import com.linkedin.atlas.client.AtlasClient; AtlasClient client = new AtlasClient.Builder().build(); List entities = client.getLineageByEntity("datasetName", true);

Which of the following statements accurately describes the role of Apache Ranger in data access cont... This content requires a subscription. Please subscribe here.

Ranger is primarily used to define and enforce access policies for Hadoop clusters, but can also manage access to other data sources like databases. Ranger is a data lineage tool that tracks the movement of data through different systems. Access restricted. Please log in to view. Access restricted. Please log in to view. Ranger is a distributed storage system for Hadoop data.

You are setting up an access policy in Apache Ranger for a Hive table. What is the most important as... This content requires a subscription. Please subscribe here.

The number of users or groups that will be affected by the policy. The type of data stored in the Hive table (e.g., sensitive, non-sensitive). Access restricted. Please log in to view. Access restricted. Please log in to view. The frequency with which data in the Hive table is updated.

How does Apache Ranger enforce access policies within a Hadoop cluster?

Ranger uses a custom file system that replaces HDFS to control access at the file level. Ranger integrates with Hadoop services (e.g., HDFS, Hive, YARN) and intercepts requests to enforce policies before granting access. Access restricted. Please log in to view. Access restricted. Please log in to view. Ranger uses a distributed consensus mechanism to ensure that all nodes in the cluster have the same policies.

A data analyst needs to access a sensitive Hive table containing customer financial data. The analy... This content requires a subscription. Please subscribe here.

The analyst will be granted access because they are part of the 'Finance' group, which likely has implicit access to sensitive data. The analyst's query will be automatically approved because Ranger uses a least privilege approach, allowing access by default. Access restricted. Please log in to view. Access restricted. Please log in to view. Ranger will prompt the analyst to provide additional credentials before granting access.

You are working with a large data warehouse environment that uses Apache Ranger for access control. ... This content requires a subscription. Please subscribe here.

The number of users who will be accessing the data lake. The sensitivity of the user profile data and the potential impact of unauthorized access. Access restricted. Please log in to view. Access restricted. Please log in to view. The frequency with which user profile data is updated.

A data steward is responsible for ensuring the quality and integrity of data. Which of the following... This content requires a subscription. Please subscribe here.

Defining data governance policies and procedures Implementing data quality checks and monitoring data integrity Access restricted. Please log in to view. Access restricted. Please log in to view. Resolving data conflicts and inconsistencies

Apache Ranger and Apache Atlas are both important tools for data governance. Which statement BEST de... This content requires a subscription. Please subscribe here.

Ranger focuses on data access control, while Atlas focuses on data discovery and lineage. Atlas is primarily used for data security, while Ranger is used for data quality monitoring. Access restricted. Please log in to view. Access restricted. Please log in to view. Atlas is used for data visualization, while Ranger is used for data anonymization.

A data steward needs to enforce a new policy that restricts access to sensitive customer data. Which... This content requires a subscription. Please subscribe here.

Apache Spark Apache Hive Access restricted. Please log in to view. Access restricted. Please log in to view. Apache Atlas

You are a data steward responsible for a large dataset containing customer purchase history. You nee... This content requires a subscription. Please subscribe here.

Create a new user group for each customer segment and grant access to specific analysts based on their needs. Encrypt the entire dataset using Ranger's encryption capabilities and provide decryption keys to authorized analysts. Access restricted. Please log in to view. Access restricted. Please log in to view. Implement a custom data access layer that filters data based on user roles and purchase patterns.

A data steward wants to track the usage of a particular dataset by different teams and individuals w... This content requires a subscription. Please subscribe here.

Data Lineage Tracking Data Quality Monitoring Access restricted. Please log in to view. Access restricted. Please log in to view. Data Encryption

You need to create a new table in Hive that will hold aggregated sales data from a transactional tab... This content requires a subscription. Please subscribe here.

CREATE TABLE sales_agg LIKE sales_transactions; CREATE TABLE sales_agg AS SELECT * FROM sales_transactions GROUP BY product_id; Access restricted. Please log in to view. Access restricted. Please log in to view. CREATE VIEW sales_agg AS SELECT product_id, SUM(quantity) AS total_quantity FROM sales_transactions GROUP BY product_id;

You have a Hive table named 'customer_details' with columns 'customer_id', 'name', 'address', and 'p... This content requires a subscription. Please subscribe here.

CREATE VIEW customer_view AS SELECT * FROM customer_details WHERE region = 'North America'; CREATE TEMP VIEW customer_view AS SELECT * FROM customer_details WHERE region = 'North America'; Access restricted. Please log in to view. Access restricted. Please log in to view. CREATE OR REPLACE VIEW customer_view AS SELECT customer_id, name, address FROM customer_details WHERE region = 'North America';

What is the difference between a Hive table and a Hive view?

A Hive table stores actual data, while a Hive view only provides a virtual representation of the data. A Hive view can be updated, while a Hive table cannot. Access restricted. Please log in to view. Access restricted. Please log in to view. A Hive table is always partitioned, while a Hive view can be partitioned or non-partitioned.

You have a Hive table named 'product_sales' with columns 'product_id', 'product_name', 'sales_date',... This content requires a subscription. Please subscribe here.

CREATE TABLE top_products AS SELECT * FROM product_sales ORDER BY quantity_sold DESC LIMIT 10; CREATE TABLE top_products AS SELECT product_id, SUM(quantity_sold) AS total_quantity FROM product_sales GROUP BY product_id ORDER BY total_quantity DESC LIMIT 10; Access restricted. Please log in to view. Access restricted. Please log in to view. CREATE TABLE top_products AS SELECT product_id, product_name, SUM(quantity_sold) AS total_quantity FROM product_sales GROUP BY product_id, product_name ORDER BY total_quantity LIMIT 10;

You are working with a Hive table 'user_activity' that contains user activity data. You want to crea... This content requires a subscription. Please subscribe here.

CREATE TABLE active_users AS SELECT DISTINCT user_id FROM user_activity WHERE activity_date >= date_sub(current_date, 30); CREATE TABLE active_users AS SELECT user_id FROM user_activity WHERE activity_date >= date_sub(current_date, 30) GROUP BY user_id; Access restricted. Please log in to view. Access restricted. Please log in to view. CREATE TABLE active_users AS SELECT user_id FROM user_activity WHERE activity_date >= date_sub(current_date, 30) GROUP BY user_id HAVING COUNT(DISTINCT user_id) >= 1;

You have a dataset of customer transactions with columns for customer ID, transaction date, and tran... This content requires a subscription. Please subscribe here.

SUM AVG Access restricted. Please log in to view. Access restricted. Please log in to view. MIN

You are analyzing website traffic data and need to identify the top 5 most visited pages. Which aggr... This content requires a subscription. Please subscribe here.

SUM AVG Access restricted. Please log in to view. Access restricted. Please log in to view. MIN

You are tasked with creating a report that shows the total revenue generated by each product categor... This content requires a subscription. Please subscribe here.

SUM AVG Access restricted. Please log in to view. Access restricted. Please log in to view. MIN

You have a dataset of customer orders, and you want to identify the customer who placed the most ord... This content requires a subscription. Please subscribe here.

COUNT, then MAX MAX, then COUNT Access restricted. Please log in to view. Access restricted. Please log in to view. MIN, then MAX

You have a dataset of employee salaries, and you want to calculate the average salary for each depar... This content requires a subscription. Please subscribe here.

COUNT and GROUP BY department SUM and GROUP BY department Access restricted. Please log in to view. Access restricted. Please log in to view. MIN and GROUP BY department

Which statement best describes the concept of pushing down filter conditions in Hive and Impala?

Applying filters on the data before it's loaded into the Hive/Impala table. Performing filtering operations directly on the underlying data source, reducing data transferred to Hive/Impala. Access restricted. Please log in to view. Access restricted. Please log in to view. Using Hive/Impala's built-in filtering functions to optimize query performance.

In which scenario would pushing down filter conditions provide the most significant performance gain... This content requires a subscription. Please subscribe here.

Filtering a large table based on a single, highly selective condition. Filtering a small table based on a complex set of conditions. Access restricted. Please log in to view. Access restricted. Please log in to view. Filtering a table based on a join condition.

Consider the following HiveQL query: ```sql SELECT * FROM orders WHERE order_date >= '2023-01-01' ... This content requires a subscription. Please subscribe here.

The filter conditions will be applied on the data source before it's loaded into Hive, reducing the amount of data processed. Hive will create a separate table with the filtered data before running the query. Access restricted. Please log in to view. Access restricted. Please log in to view. Pushing down filters has no effect on this query because the WHERE clause already performs the filtering.

Which of the following Hive/Impala features or settings enable pushing down filter conditions?

Using the `JOIN` clause in queries. Setting the `hive.vectorized.execution.enabled` property to `true`. Access restricted. Please log in to view. Access restricted. Please log in to view. Using the `GROUP BY` clause in queries.

You're analyzing customer data stored in a Hive table. You need to retrieve records for customers wh... This content requires a subscription. Please subscribe here.

Use a subquery to identify first purchase dates and filter the main query accordingly. Load all customer data into a temporary table and filter it using Hive's `WHERE` clause. Access restricted. Please log in to view. Access restricted. Please log in to view. Use Hive's built-in functions to calculate the first purchase date and filter based on that.

You are querying a large Hive table containing sales data. The table is partitioned by year and mont... This content requires a subscription. Please subscribe here.

Using the `WHERE` clause in your HiveQL query to filter for `year = 2023` and `month = 'January'`. Enabling the `hive.optimize.pushdown.predicate` property in your Hive configuration. Access restricted. Please log in to view. Access restricted. Please log in to view. Using the `ORC` file format for storing the data, which supports predicate pushdown optimization.

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Which of the following data visualization types is best suited for showing the distribution of a single continuous variable?

You are analyzing website traffic data and want to identify trends in user behavior over time. Which visualization would be most effective for this purpose?

What is the primary purpose of using a color palette in data visualizations?

You are building a dashboard to track customer satisfaction scores over time. Which of the following visualization techniques would be most appropriate for showcasing the overall trend and any significant deviations from the average?

Which of the following statements is TRUE about using annotations in data visualizations?

Which Cloudera Data Visualization component allows you to create a dashboard and embed it into a web... This content requires a subscription. Please subscribe here.

You want to create a dashboard that dynamically updates based on user interaction with a filter. Whi... This content requires a subscription. Please subscribe here.

Which of the following features allows you to incorporate external data into your Cloudera Data Visu... This content requires a subscription. Please subscribe here.

You have a dashboard with several visualizations. Which feature allows you to group these visualizat... This content requires a subscription. Please subscribe here.

You want to display sales data for different regions on a map. Which visualization type would be mos... This content requires a subscription. Please subscribe here.

You need to pull data from a specific table called "customer_transactions" within the database "reta... This content requires a subscription. Please subscribe here.

You need to analyze data from multiple tables within the "marketing_campaigns" database. The databas... This content requires a subscription. Please subscribe here.

You need to access tables within the "financial_data" database, but you are unsure of the table name... This content requires a subscription. Please subscribe here.

You need to retrieve data from tables within the "sales_data" database. Your analysis requires data ... This content requires a subscription. Please subscribe here.

You are working with a large dataset stored in Impala, and you need to analyze the distribution of s... This content requires a subscription. Please subscribe here.

You have a Hive table with a column named 'product_price' stored as a string. You need to convert it... This content requires a subscription. Please subscribe here.

You're working with a Hive table containing a 'timestamp' column, which stores timestamps as strings... This content requires a subscription. Please subscribe here.

You are analyzing user activity data in a Hive table. The 'user_agent' column stores the browser inf... This content requires a subscription. Please subscribe here.

You have a Hive table with a 'customer_id' column, which is stored as a string. However, you know t... This content requires a subscription. Please subscribe here.

You're analyzing a Hive table containing website traffic data, and the 'page_views' column stores th... This content requires a subscription. Please subscribe here.

You have two Hive tables, 'customers' and 'orders', that you need to join to analyze customer purcha... This content requires a subscription. Please subscribe here.

You have a table 'products' with columns 'product_id', 'product_name', and 'category'. You need to j... This content requires a subscription. Please subscribe here.

You need to perform a join between two Hive tables, 'users' and 'transactions', to analyze user acti... This content requires a subscription. Please subscribe here.

You are working with two tables in Hive: 'employees' and 'departments'. You want to retrieve employe... This content requires a subscription. Please subscribe here.

You have two Hive tables: 'products' and 'orders'. You need to join these tables to analyze product ... This content requires a subscription. Please subscribe here.

You have two Hive tables, 'Customers' and 'Orders', with a one-to-many relationship. 'Customers' has... This content requires a subscription. Please subscribe here.

You have a Hive table 'Products' with columns 'product_id', 'product_name', and 'category_id'. You w... This content requires a subscription. Please subscribe here.

You are working with two Hive tables: 'Employees' (with 'employee_id' as the primary key) and 'Depar... This content requires a subscription. Please subscribe here.

You have a Hive table 'Transactions' with columns 'transaction_id', 'customer_id', and 'amount'. 'C... This content requires a subscription. Please subscribe here.

You are working with a Hive table 'Employees' with 'employee_id' as the primary key. You need to ins... This content requires a subscription. Please subscribe here.

Which of the following is NOT a benefit of using Apache Atlas to inspect lineage in a data pipeline?

You have a data pipeline with multiple transformations applied to a source dataset. How can you use ... This content requires a subscription. Please subscribe here.

Consider a scenario where you need to identify the downstream impacts of changes made to a specific ... This content requires a subscription. Please subscribe here.

You are working with a complex data pipeline involving multiple data sources, transformations, and s... This content requires a subscription. Please subscribe here.

Which of the following code snippets demonstrates how to access lineage information for a specific d... This content requires a subscription. Please subscribe here.

Which of the following statements accurately describes the role of Apache Ranger in data access cont... This content requires a subscription. Please subscribe here.

You are setting up an access policy in Apache Ranger for a Hive table. What is the most important as... This content requires a subscription. Please subscribe here.

How does Apache Ranger enforce access policies within a Hadoop cluster?

A data analyst needs to access a sensitive Hive table containing customer financial data. The analy... This content requires a subscription. Please subscribe here.

You are working with a large data warehouse environment that uses Apache Ranger for access control. ... This content requires a subscription. Please subscribe here.

A data steward is responsible for ensuring the quality and integrity of data. Which of the following... This content requires a subscription. Please subscribe here.

Apache Ranger and Apache Atlas are both important tools for data governance. Which statement BEST de... This content requires a subscription. Please subscribe here.

A data steward needs to enforce a new policy that restricts access to sensitive customer data. Which... This content requires a subscription. Please subscribe here.

You are a data steward responsible for a large dataset containing customer purchase history. You nee... This content requires a subscription. Please subscribe here.

A data steward wants to track the usage of a particular dataset by different teams and individuals w... This content requires a subscription. Please subscribe here.

You need to create a new table in Hive that will hold aggregated sales data from a transactional tab... This content requires a subscription. Please subscribe here.

You have a Hive table named 'customer_details' with columns 'customer_id', 'name', 'address', and 'p... This content requires a subscription. Please subscribe here.

What is the difference between a Hive table and a Hive view?

You have a Hive table named 'product_sales' with columns 'product_id', 'product_name', 'sales_date',... This content requires a subscription. Please subscribe here.

You are working with a Hive table 'user_activity' that contains user activity data. You want to crea... This content requires a subscription. Please subscribe here.

You have a dataset of customer transactions with columns for customer ID, transaction date, and tran... This content requires a subscription. Please subscribe here.

You are analyzing website traffic data and need to identify the top 5 most visited pages. Which aggr... This content requires a subscription. Please subscribe here.

You are tasked with creating a report that shows the total revenue generated by each product categor... This content requires a subscription. Please subscribe here.

You have a dataset of customer orders, and you want to identify the customer who placed the most ord... This content requires a subscription. Please subscribe here.

You have a dataset of employee salaries, and you want to calculate the average salary for each depar... This content requires a subscription. Please subscribe here.

Which statement best describes the concept of pushing down filter conditions in Hive and Impala?

In which scenario would pushing down filter conditions provide the most significant performance gain... This content requires a subscription. Please subscribe here.

Consider the following HiveQL query: ```sql SELECT * FROM orders WHERE order_date >= '2023-01-01' ... This content requires a subscription. Please subscribe here.

Which of the following Hive/Impala features or settings enable pushing down filter conditions?

You're analyzing customer data stored in a Hive table. You need to retrieve records for customers wh... This content requires a subscription. Please subscribe here.

You are querying a large Hive table containing sales data. The table is partitioned by year and mont... This content requires a subscription. Please subscribe here.

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