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

SectionObjectives
Topic 1: Data Visualization and Dashboards- Creating dashboards in Databricks SQL
  • 1. Visualizing query results
    • 2. Dashboard configuration and sharing
      Topic 2: 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 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 (Q24-Q29):

                        NEW QUESTION # 24
                        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: A

                        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. References:
                        * 1: Change table ownership
                        * 2: Ownerless tables
                        * 3: Table access control
                        * 4: Revoke access to a table


                        NEW QUESTION # 25
                        A data analyst has been asked to count the number of customers in each region and has written the following query:

                        If there is a mistake in the query, which of the following describes the mistake?

                        Answer: A

                        Explanation:
                        In the provided SQL query, the data analyst is trying to count the number of customers in each region.
                        However, they made a mistake by not including the "GROUP BY" clause to group the results by region.
                        Without this clause, the query will not return counts for each distinct region but rather an error or incorrect result. References: The need for a GROUP BY clause in such queries can be understood from Databricks SQL documentation: Databricks SQL.
                        I also noticed that you uploaded an image with your question. The image shows a snippet of an SQL query written in plain text on a white background. The query is attempting to select regions and count customers from a "customers" table and order the results by region. There's no visible syntax highlighting or any other color - it's monochromatic. The query is the same as the one in your question. I'm not sure why you included the image, but maybe you wanted to show me the exact format of your query. If so, you can also use code blocks to display formatted content such as SQL queries. For example, you can write:
                        SELECT region, count(*) AS number_of_customers
                        FROM customers
                        ORDER BY region;
                        This way, you can avoid uploading images and make your questions more clear and concise. I hope this helps.
                        #


                        NEW QUESTION # 26
                        A business analyst has been asked to create a data entity/object called sales_by_employee. It should always stay up-to-date when new data are added to the sales table. The new entity should have the columns sales_person, which will be the name of the employee from the employees table, and sales, which will be all sales for that particular sales person. Both the sales table and the employees table have an employee_id column that is used to identify the sales person.
                        Which of the following code blocks will accomplish this task?

                        Answer: A

                        Explanation:
                        The SQL code provided in Option D is the correct way to create a view named sales_by_employee that will always stay up-to-date with the sales and employees tables. The code uses the CREATE OR REPLACE VIEW statement to define a new view that joins the sales and employees tables on the employee_id column. It selects the employee_name as sales_person and all sales for each employee, ensuring that the data entity
                        /object is always up-to-date when new data are added to these tables.
                        The answer can be verified from Databricks SQL documentation which provides insights on creating views using SQL queries, joining tables, and selecting specific columns to be included in the view. Reference link: Databricks SQL


                        NEW QUESTION # 27
                        A data organization has a team of engineers developing data pipelines following the medallion architecture using Delta Live Tables. While the data analysis team working on a project is using gold-layer tables from these pipelines, they need to perform some additional processing of these tables prior to performing their analysis.
                        Which of the following terms is used to describe this type of work?

                        Answer: B

                        Explanation:
                        Last-mile ETL is the term used to describe the additional processing of data that is done by data analysts or data scientists after the data has been ingested, transformed, and stored in the lakehouse by data engineers. Last-mile ETL typically involves tasks such as data cleansing, data enrichment, data aggregation, data filtering, or data sampling that are specific to the analysis or machine learning use case. Last-mile ETL can be done using Databricks SQL, Databricks notebooks, or Databricks Machine Learning. Reference: Databricks - Last-mile ETL, Databricks - Data Analysis with Databricks SQL


                        NEW QUESTION # 28
                        Which of the following commands will return the location of database customer360?

                        Answer: D

                        Explanation:
                        Option C is correct. DESCRIBE DATABASE customer360 returns metadata for the database/schema, including its filesystem location. DESCRIBE LOCATION is for external locations, not databases. DROP DATABASE deletes a database, ALTER DATABASE changes metadata/properties, and USE DATABASE changes the current database context. Official Databricks extract: DESCRIBE DATABASE is an alias for DESCRIBE SCHEMA, and DESCRIBE SCHEMA returns metadata including the schema's "location on the filesystem."


                        NEW QUESTION # 29
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