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Databricks Databricks-Certified-Data-Analyst-Associate Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 2
  • 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 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 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.
Topic 5
  • 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.

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

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Databricks Certified Data Analyst Associate Sample Questions:

Question #1

A data engineer wants to schedule their Databricks SQL dashboard to refresh once per day, but they only want the associated SQL endpoint to be running when it is necessary.
Which of the following approaches can the data engineer use to minimize the total running time of the SQL endpoint used in the refresh schedule of their dashboard?

  • A. They can ensure the dashboard's SQL endpoint matches each of the queries' SQL endpoints.
  • B. They can ensure the dashboard's SQL endpoint is not one of the included query's SQL endpoint.
  • C. They can turn on the Auto Stop feature for the SQL endpoint.
  • D. They can set up the dashboard's SQL endpoint to be serverless.
  • E. They can reduce the cluster size of the SQL endpoint.
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

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Question #2

Which of the following approaches can be used to connect Databricks to Fivetran for data ingestion?

  • A. Use Partner Connect ' s automated workflow to establish a cluster for Fivetran to interact with
  • B. Use Delta Live Tables to establish a cluster for Fivetran to interact with
  • C. Use Partner Connect ' s automated workflow to establish a SQL warehouse (formerly known as a SQL endpoint) for Fivetran to interact with
  • D. Use Workflows to establish a SQL warehouse (formerly known as a SQL endpoint) for Fivetran to interact with
  • E. Use Workflows to establish a cluster for Fivetran to interact with
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

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Question #3

Data professionals with varying titles use the Databricks SQL service as the primary touchpoint with the Databricks Lakehouse Platform. However, some users will use other services like Databricks Machine Learning or Databricks Data Science and Engineering.
Which of the following roles uses Databricks SQL as a secondary service while primarily using one of the other services?

  • A. SQL analyst
  • B. Business analyst
  • C. Business intelligence analyst
  • D. Data analyst
  • E. Data engineer
Reveal Solution  Discussion  0

Correct Answer: E  🗳️

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Question #4

A data analysis team is working with the table_bronze SQL table as a source for one of its most complex projects. A stakeholder of the project notices that some of the downstream data is duplicative. The analysis team identifies table_bronze as the source of the duplication.
Which of the following queries can be used to deduplicate the data from table_bronze and write it to a new table table_silver?
A)
CREATE TABLE table_silver AS
SELECT DISTINCT *
FROM table_bronze;
B)
CREATE TABLE table_silver AS
INSERT *
FROM table_bronze;
C)
CREATE TABLE table_silver AS
MERGE DEDUPLICATE *
FROM table_bronze;
D)
INSERT INTO TABLE table_silver
SELECT * FROM table_bronze;
E)
INSERT OVERWRITE TABLE table_silver
SELECT * FROM table_bronze;

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

Correct Answer: D  🗳️

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Question #5

A data analyst has come across a column in a table that contains personally identifiable information (PII). The data analyst should not have access to this type of PII data.
How should the data analyst proceed?

  • A. Stop working with the data and proceed with the project using other data.
  • B. Stop working with the data and notify their supervisor to ensure the data is handled following organizational and legal best practices.
  • C. Stop working with the data and delete the table and any existing metadata or data files.
  • D. Drop the column containing PII data and continue with the project without notifying anybody.
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

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