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

SectionObjectives
Topic 1: Databricks SQL and SQL Analytics- Querying data using SQL in Databricks
  • 1. Joins and aggregations
    • 2. SELECT statements and filtering data
      - Data transformation and analysis
      • 1. Window functions
        • 2. Common table expressions (CTEs)
          Topic 2: Data Visualization and Dashboards- Creating dashboards in Databricks SQL
          • 1. Dashboard configuration and sharing
            • 2. Visualizing query results
              Topic 3: Data Management in Lakehouse- Delta Lake fundamentals
              • 1. ACID transactions and versioning
                • 2. Table optimization concepts
                  - Data ingestion and preparation
                  • 1. Batch and streaming ingestion concepts
                    Topic 4: Data Governance and Security- Access control and permissions
                    • 1. Unity Catalog basics
                      • 2. Row-level and column-level security concepts

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                        Databricks Certified Data Analyst Associate Exam Sample Questions (Q43-Q48):

                        NEW QUESTION # 43
                        A data analyst has two data sources that are providing similar but complementary information. The analyst wants to combine these sources of data into a single, comprehensive dataset for ongoing use for their team in a variety of different projects.
                        Which term is used to describe this type of work?

                        Answer: C

                        Explanation:
                        Option D is correct. The scenario describes combining multiple complementary data sources into one comprehensive dataset. That is data blending. Last-mile ETL is usually project-specific final transformation near the end of an analytics workflow, while this question emphasizes combining two source datasets for broader ongoing team use. The current official Databricks exam guide describes the same kind of capability as creating unified datasets by joining data from multiple sources. That aligns with the concept of data blending. Reference: Databricks Certified Data Analyst Associate Exam Guide.


                        NEW QUESTION # 44
                        Which of the following is a benefit of the Databricks Lakehouse Platform embracing open source technologies?

                        Answer: E

                        Explanation:
                        Option E is correct. A major benefit of open source technologies and open data formats is avoiding vendor lock-in. Databricks supports open formats and interfaces so data can be used across tools and systems rather than being locked into a proprietary platform. Cloud integrations, governance, and workload scalability are Databricks benefits, but the specific benefit of embracing open source is avoiding vendor lock-in. Official Databricks extract: "Using open data formats and interfaces helps to avoid" vendor lock-in, and Databricks states that no proprietary data formats are used because Delta Lake and Iceberg are open source.


                        NEW QUESTION # 45
                        Which of the following statements about adding visual appeal to visualizations in the Visualization Editor is incorrect?

                        Answer: E

                        Explanation:
                        The Visualization Editor in Databricks SQL allows users to create and customize various types of charts and visualizations from the query results. Users can change the visualization type, select the data fields, adjust the colors, format the data labels, and modify the tooltips. However, there is no option to add borders to the visualizations in the Visualization Editor. Borders are not a supported feature of the new chart visualizations in Databricks1. Therefore, the statement that borders can be added is incorrect. Reference:
                        New chart visualizations in Databricks | Databricks on AWS


                        NEW QUESTION # 46
                        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?

                        Answer: E

                        Explanation:
                        A data analyst can create multiple visualizations from the same query in Databricks SQL by clicking the + button next to the Results tab and selecting Visualization. Each visualization can have a different type, name, and configuration. To add a visualization to a dashboard, the data analyst can click the vertical ellipsis button beneath the visualization, select + Add to Dashboard, and choose an existing or new dashboard. The data analyst can repeat this process for each visualization they want to add to the same dashboard. References: Visualization in Databricks SQL, Visualize queries and create a dashboard in Databricks SQL


                        NEW QUESTION # 47
                        A data analyst created and is the owner of the managed table my_ table. They now want to change ownership of the table to a single other user using Data Explorer.
                        Which of the following approaches can the analyst use to complete the task?

                        Answer: C

                        Explanation:
                        The Owner field in the table page shows the current owner of the table and allows the owner to change it to another user or group. To change the ownership of the table, the owner can click on the Owner field and select the new owner from the drop-down list. This will transfer the ownership of the table to the selected user or group and remove the previous owner from the list of table access control entries1. The other options are incorrect because:
                        A) Removing the owner's account from the Owner field will not change the ownership of the table, but will make the table ownerless2.
                        B) Selecting All Users from the Owner field will not change the ownership of the table, but will grant all users access to the table3.
                        D) Selecting the Admins group from the Owner field will not change the ownership of the table, but will grant the Admins group access to the table3.
                        E) Removing all access from the Owner field will not change the ownership of the table, but will revoke all access to the table4. Reference:
                        1: Change table ownership
                        2: Ownerless tables
                        3: Table access control
                        4: Revoke access to a table


                        NEW QUESTION # 48
                        ......

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