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

SectionObjectives
Data Governance and Security- Access control and permissions
  • 1. Row-level and column-level security concepts
    • 2. Unity Catalog basics
      Data Visualization and Dashboards- Creating dashboards in Databricks SQL
      • 1. Visualizing query results
        • 2. Dashboard configuration and sharing
          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
                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)

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                        Databricks-Certified-Data-Analyst-Associate PDF題庫 & Databricks-Certified-Data-Analyst-Associate PDF

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                        最新的 Data Analyst Databricks-Certified-Data-Analyst-Associate 免費考試真題 (Q22-Q27):

                        問題 #22
                        A data analyst creates a Databricks SQL Query where the result set has the following schema:
                        region STRING
                        number_of_customer INT
                        When the analyst clicks on the "Add visualization" button on the SQL Editor page, which of the following types of visualizations will be selected by default?

                        答案：B

                        解題說明：
                        According to the Databricks SQL documentation, when a data analyst clicks on the "Add visualization" button on the SQL Editor page, the default visualization type is Bar Chart. This is because the result set has two columns: one of type STRING and one of type INT. The Bar Chart visualization automatically assigns the STRING column to the X-axis and the INT column to the Y-axis. The Bar Chart visualization is suitable for showing the distribution of a numeric variable across different categories. Reference: Visualization in Databricks SQL, Visualization types


                        問題 #23
                        A data analyst has created a user-defined function using the following line of code:
                        CREATE FUNCTION price(spend DOUBLE, units DOUBLE)
                        RETURNS DOUBLE
                        RETURN spend / units;
                        Which of the following code blocks can be used to apply this function to the customer_spend and customer_units columns of the table customer_summary to create column customer_price?

                        答案：B

                        解題說明：
                        A user-defined function (UDF) is a function defined by a user, allowing custom logic to be reused in the user environment1. To apply a UDF to a table, the syntax is SELECT udf_name(column_name) AS alias FROM table_name2. Therefore, option E is the correct way to use the UDF price to create a new column customer_price based on the existing columns customer_spend and customer_units from the table customer_summary. Reference:
                        What are user-defined functions (UDFs)?
                        User-defined scalar functions - SQL
                        V


                        問題 #24
                        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?

                        答案：C

                        解題說明：
                        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


                        問題 #25
                        A data analyst has set up a SQL query to run every four hours on a SQL endpoint, but the SQL endpoint is taking too long to start up with each run.
                        Which of the following changes can the data analyst make to reduce the start-up time for the endpoint while managing costs?

                        答案：D

                        解題說明：
                        A Serverless SQL endpoint is a type of SQL endpoint that does not require a dedicated cluster to run queries. Instead, it uses a shared pool of resources that can scale up and down automatically based on the demand. This means that a Serverless SQL endpoint can start up much faster than a SQL endpoint that uses a cluster, and it can also save costs by only paying for the resources that are used. A Serverless SQL endpoint is suitable for ad-hoc queries and exploratory analysis, but it may not offer the same level of performance and isolation as a SQL endpoint that uses a cluster. Therefore, a data analyst should consider the trade-offs between speed, cost, and quality when choosing between a Serverless SQL endpoint and a SQL endpoint that uses a cluster. Reference: Databricks SQL endpoints, Serverless SQL endpoints, SQL endpoint clusters


                        問題 #26
                        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?

                        答案：D

                        解題說明：
                        The SQL Editor page is where the analyst can write and execute SQL queries in Databricks SQL. The SQL Editor page has a query pane where the analyst can type or paste SQL statements, and a results pane where the analyst can view the query results in a table or a chart. The analyst can also browse data objects, edit multiple queries, execute a single query or multiple queries, terminate a query, save a query, download a query result, and more from the SQL Editor page. References: Create a query in SQL editor


                        問題 #27
                        ......

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