Exam Code: Databricks-Certified-Data-Analyst-Associate
Exam Name: Databricks Certified Data Analyst Associate Exam
Certification Provider: Databricks
Corresponding Certification: Data Analyst
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Databricks Databricks-Certified-Data-Analyst-Associate Exam Syllabus Topics:

TopicDetails
Topic 1
  • Analytics applications: It describes key moments of statistical distributions, data enhancement, and the blending of data between two source applications. Moroever, the topic also explains last-mile ETL, a scenario in which data blending would be beneficial, key statistical measures, descriptive statistics, and discrete and continuous statistics.
Topic 2
  • SQL in the Lakehouse: It identifies a query that retrieves data from the database, the output of a SELECT query, a benefit of having ANSI SQL, access, and clean silver-level data. It also compares and contrasts MERGE INTO, INSERT TABLE, and COPY INTO. Lastly, this topic focuses on creating and applying UDFs in common scaling scenarios.
Topic 3
  • Databricks SQL: This topic discusses key and side audiences, users, Databricks SQL benefits, complementing a basic Databricks SQL query, schema browser, Databricks SQL dashboards, and the purpose of Databricks SQL endpoints
  • warehouses. Furthermore, the delves into Serverless Databricks SQL endpoint
  • warehouses, trade-off between cluster size and cost for Databricks SQL endpoints
  • warehouses, and Partner Connect. Lastly it discusses small-file upload, connecting Databricks SQL to visualization tools, the medallion architecture, the gold layer, and the benefits of working with streaming data.
Topic 4
  • Data Visualization and Dashboarding: Sub-topics of this topic are about of describing how notifications are sent, how to configure and troubleshoot a basic alert, how to configure a refresh schedule, the pros and cons of sharing dashboards, how query parameters change the output, and how to change the colors of all of the visualizations. It also discusses customized data visualizations, visualization formatting, Query Based Dropdown List, and the method for sharing a dashboard.
Topic 5
  • Data Management: The topic describes Delta Lake as a tool for managing data files, Delta Lake manages table metadata, benefits of Delta Lake within the Lakehouse, tables on Databricks, a table owner’s responsibilities, and the persistence of data. It also identifies management of a table, usage of Data Explorer by a table owner, and organization-specific considerations of PII data. Lastly, the topic it explains how the LOCATION keyword changes, usage of Data Explorer to secure data.

Reference: https://www.databricks.com/learn/certification/data-analyst-associate

Databricks Certified Data Analyst Associate Sample Questions:

A data analyst runs the following command:
SELECT age, country
FROM my_table
WHERE age > = 75 AND country = ' canada ' ;
Which of the following tables represents the output of the above command?

  • A.
  • B.
  • C.
  • D.
  • E.
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

Explanation: Only visible for ExamBoosts members. You can sign-up / login (it's free).

The stakeholders.customers table has 15 columns and 3,000 rows of data. The following command is run:

After running SELECT * FROM stakeholders.eur_customers, 15 rows are returned. After the command executes completely, the user logs out of Databricks.
After logging back in two days later, what is the status of the stakeholders.eur_customers view?

  • A. The view remains available and SELECT * FROM stakeholders.eur_customers will execute correctly.
  • B. The view remains available but attempting to SELECT from it results in an empty result set because data in views are automatically deleted after logging out.
  • C. The view has been dropped.
  • D. The view has been converted into a table.
  • E. The view is not available in the metastore, but the underlying data can be accessed with SELECT * FROM delta. `stakeholders.eur_customers`.
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

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A data analyst has recently joined a new team that uses Databricks SQL, but the analyst has never used Databricks before. The analyst wants to know where in Databricks SQL they can write and execute SQL queries.
On which of the following pages can the analyst write and execute SQL queries?

  • A. Data page
  • B. Alerts page
  • C. SQL Editor page
  • D. Queries page
  • E. Dashboards page
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

Explanation: Only visible for ExamBoosts members. You can sign-up / login (it's free).

A database was created in Databricks SQL using the following statement:
CREATE SCHEMA accounting LOCATION ' dbfs:/accounting/data ' ;
Where will data for this database be stored?

  • A. dbfs:/user/hive/warehouse/accounting.db
  • B. dbfs:/accounting/data/accounting.db
  • C. dbfs:/accounting/data.db
  • D. dbfs:/accounting/data
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

Explanation: Only visible for ExamBoosts members. You can sign-up / login (it's free).

A data analyst is working in an organization that utilizes a multi-hop, medallion architecture. They have been tasked with creating a new Gold table from an existing Silver table.
Which query is performing a hop from a Silver table to a Gold table?

  • A.
  • B.
  • C.
  • D.
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

Explanation: Only visible for ExamBoosts members. You can sign-up / login (it's free).

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