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

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

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                        Databricks Certified Data Analyst Associate Exam Sample Questions (Q20-Q25):

                        NEW QUESTION # 20
                        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 # 21
                        How can a data analyst determine if query results were pulled from the cache?

                        Answer: B

                        Explanation:
                        Databricks SQL uses a query cache to store the results of queries that have been executed previously. This improves the performance and efficiency of repeated queries. To determine if a query result was pulled from the cache, you can go to the Query History tab in the Databricks SQL UI and click on the text of the query. A slideout will appear on the right side of the screen, showing the query details, including the cache status. If the result came from the cache, the cache status will show "Cached". If the result did not come from the cache, the cache status will show "Not cached". You can also see the cache hit ratio, which is the percentage of queries that were served from the cache. References: The answer can be verified from Databricks SQL documentation which provides information on how to use the query cache and how to check the cache status.
                        Reference link: Databricks SQL - Query Cache


                        NEW QUESTION # 22
                        Which of the following layers of the medallion architecture is most commonly used by data analysts?

                        Answer: E

                        Explanation:
                        The gold layer of the medallion architecture contains data that is highly refined and aggregated, and powers analytics, machine learning, and production applications. Data analysts typically use the gold layer to access data that has been transformed into knowledge, rather than just information. The gold layer represents the final stage of data quality and optimization in the lakehouse. References: What is the medallion lakehouse architecture?


                        NEW QUESTION # 23
                        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?

                        Answer: C

                        Explanation:
                        Option C is correct. If an analyst encounters PII that they should not access, they should stop using that data and escalate through the appropriate organizational process. They should not delete the table, drop the column, or silently continue. Databricks security and privacy guidance emphasizes least-privilege access, data classification by sensitivity, access control, and meeting compliance/privacy requirements, including redaction or obfuscation of PII when required. Therefore, notifying a supervisor or data owner is the correct professional and governance-aligned response. References: Databricks security, compliance, and privacy documentation.


                        NEW QUESTION # 24
                        A stakeholder has provided a data analyst with a lookup dataset in the form of a 50-row CSV file. The data analyst needs to upload this dataset for use as a table in Databricks SQL.
                        Which approach should the data analyst use to quickly upload the file into a table for use in Databricks SOL?

                        Answer: D

                        Explanation:
                        Databricks provides a user-friendly interface that allows data analysts to quickly upload small datasets, such as a 50-row CSV file, and create tables within Databricks SQL. The steps are as follows:
                        Access the Data Upload Interface:
                        In the Databricks workspace, navigate to the sidebar and click on New > Add or upload data.
                        Select Create or modify a table.
                        Upload the CSV File:
                        Click on the browse button or drag and drop the CSV file directly onto the designated area.
                        The interface supports uploading up to 10 files simultaneously, with a total size limit of 2 GB.
                        Configure Table Settings:
                        After uploading, a preview of the data is displayed.
                        Specify the table name, select the appropriate schema, and configure any additional settings as needed.
                        Create the Table:
                        Once all configurations are set, click on the Create Table button to finalize the process.
                        This method is efficient for quickly importing small datasets without the need for additional tools or complex configurations. Options B, C, and D involve more complex or manual processes that are unnecessary for this task.


                        NEW QUESTION # 25
                        ......

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