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Free Certified Data Analyst Associate Exam Braindumps
Databricks Certified Data Analyst Associate Questions 41–48 (page: 7)

Updated On: 12-May-2026
Page 7 of 19
PDF with 140 Questions

A consultant has assigned a number of tasks to a data team that must be completed using the Databricks Lakehouse Platform.

Which Databricks SQL projects need to be finished?

  1. Testing the quality of data as it is imported from a source
  2. Automating complex notebook-based workflows with multiple tasks
  3. Combining two data sources into a single, comprehensive dataset
  4. Segmenting customers into like groups using a clustering algorithm

Answer(s): C



A data organization has a team of engineers developing data pipelines following the medallion architecture using Delta Live Tables. While the data analysis team working on a project is using gold-layer tables from these pipelines, they need to perform some additional processing of these tables prior to performing their analysis.

Which term is applied to this kind of work?

  1. Data blending
  2. Data enhancement
  3. Data testing
  4. Last-mile ETL

Answer(s): D



Which statement describes descriptive statistics?

  1. A branch of statistics that uses summary statistics to categorically describe and summarize data.
  2. A branch of statistics that uses a variety of data analysis techniques to infer properties of an underlying distribution of probability.
  3. A branch of statistics that uses quantitative variables that must take on a finite or countably infinite set of values.
  4. A branch of statistics that uses summary statistics to quantitatively describe and summarize data.

Answer(s): D



In which circumstance will there be a substantial difference between the variable's mean and median values?

  1. When the variable contains no outliers
  2. When the variable contains a lot of extreme outliers
  3. When the variable is of the categorical type
  4. When the variable is of the boolean type

Answer(s): B



A data analyst is working with gold-layer tables to complete an ad-hoc project. A stakeholder has provided the analyst with an additional dataset that can be used to augment the gold-layer tables already in use.

Which term is used to describe this data augmentation?

  1. Data enhancement
  2. Ad-hoc improvements
  3. Last-mile dashboarding
  4. Last-mile ETL

Answer(s): A



A data analyst needs to query the data in my_table. They want to return the values in columns user_id and email_address where records fit the following filter criteria: age is greater than 25 and country is Canada. The analyst does not want to return values from any other columns.

Which code block will accomplish the above task?

  1. SELECT * FROM my_table WHERE age > 25 AND country = 'Canada';
  2. SELECT user_id, email_address FROM my_table WHERE age > 25 AND country = 'Canada';
  3. SELECT age, country FROM my_table WHERE age > 25 AND country = 'Canada';
  4. SELECT user_id, email_address FROM my_table WHERE age = 25 AND country > 'Canada';

Answer(s): B

Explanation:

This query selects only the user_id and email_address columns, as required, and filters records where age is greater than 25 and country is "Canada".



Which example of data projects represents a common analytics application to be completed in Databricks SQL?

  1. Augmenting gold-layer tables with additional external information
  2. Automating complex notebook-based workflows with multiple tasks
  3. Testing the quality of data as it is imported from a source
  4. Segmenting customers into like groups using a clustering algorithm

Answer(s): A

Explanation:

Databricks SQL is primarily used for querying and transforming structured data. A common analytics application is enhancing gold-layer tables (final refined tables in a medallion architecture) with external data sources to provide richer insights.



What is a benefit of using Databricks SQL for business intelligence (BI) analytics projects instead of using third- party BI tools?

  1. Computations, data, and analytical tools on the same platform
  2. Advanced dashboarding capabilities
  3. Simultaneous multi-user support
  4. Automated alerting systems

Answer(s): A

Explanation:

Databricks SQL integrates data storage, computation, and analytical tools in a unified platform, reducing data movement and enabling efficient business intelligence (BI) analytics without relying on third-party tools.



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