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Databricks-Certified-Data-Analyst-Associate Exam Dumps : Databricks Certified Data Analyst Associate Exam

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Databricks Databricks-Certified-Data-Analyst-Associate Exam Dumps FAQs

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The Databricks-Certified-Data-Analyst-Associate exam assesses an individual's ability to use the Databricks SQL service to complete introductory data analysis tasks. It covers topics like Databricks SQL, data management, SQL, data visualization, and analytics applications.

Q. # 2: Who should take the Databricks-Certified-Data-Analyst-Associate Exam?

The Databricks-Certified-Data-Analyst-Associate exam is ideal for data analysts seeking to validate their skills in using Databricks SQL for data analysis tasks. It's particularly relevant for individuals working with Databricks on cloud platforms like GCP or Azure.

Q. # 3: What topics are included in the Databricks-Certified-Data-Analyst-Associate Exam?

The Databricks-Certified-Data-Analyst-Associate exam covers Databricks SQL, data management, SQL, data visualization, and analytics applications.

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The Databricks-Certified-Data-Analyst-Associate exam consists of 45 multiple-choice questions.

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You have 90 minutes to complete the Databricks-Certified-Data-Analyst-Associate exam.

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Databricks Certified Data Analyst Associate Exam Questions and Answers

Question 1

A data analyst has created a Query in Databricks SQL, and now they want to create two data visualizations from that Query and add both of those data visualizations to the same Databricks SQL Dashboard.

Which of the following steps will they need to take when creating and adding both data visualizations to the Databricks SQL Dashboard?

Options:

A.

They will need to alter the Query to return two separate sets of results.

B.

They will need to add two separate visualizations to the dashboard based on the same Query.

C.

They will need to create two separate dashboards.

D.

They will need to decide on a single data visualization to add to the dashboard.

E.

They will need to copy the Query and create one data visualization per query.

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Question 2

Which of the following should data analysts consider when working with personally identifiable information (PII) data?

Options:

A.

Organization-specific best practices for Pll data

B.

Legal requirements for the area in which the data was collected

C.

None of these considerations

D.

Legal requirements for the area in which the analysis is being performed

E.

All of these considerations

Question 3

A data engineering team has created a Structured Streaming pipeline that processes data in micro-batches and populates gold-level tables. The microbatches are triggered every 10 minutes.

A data analyst has created a dashboard based on this gold level data. The project stakeholders want to see the results in the dashboard updated within 10 minutes or less of new data becoming available within the gold-level tables.

What is the ability to ensure the streamed data is included in the dashboard at the standard requested by the project stakeholders?

Options:

A.

A refresh schedule with an interval of 10 minutes or less

B.

A refresh schedule with an always-on SQL Warehouse (formerly known as SQL Endpoint

C.

A refresh schedule with stakeholders included as subscribers

D.

A refresh schedule with a Structured Streaming cluster