Databricks-Certified-Data-Engineer-Associate Exam Dumps

Databricks SQL allows users to schedule queries to run automatically at a specified frequency and time zone. This can help users to keep their dashboards or alerts updated with the latest data. To schedule a query, users need to do the following steps:

In the Query Editor, click Schedule > Add schedule to open a menu with schedule settings.

Choose when to run the query. Use the dropdown pickers to specify the frequency, period, starting time, and time zone. Optionally, select the Show cron syntax checkbox to edit the schedule in Quartz Cron Syntax.

Choose More options to show optional settings. Users can also choose a name for the schedule, and a SQL warehouse to power the query.

Click Create. The query will run automatically according to the schedule.

The other options are incorrect because they do not refer to the correct location or frequency to schedule the query. The query's page in Databricks SQL is the place where users can edit, run, or schedule the query. The SQL endpoint's page in Databricks SQL is the place where users can manage the SQL warehouses and SQL endpoints. The Jobs UI is the place where users can create, run, or schedule jobs that execute notebooks, JARs, or Python scripts.Reference:Schedule a query,What are Databricks SQL alerts?,Jobs.

Auto Loader in Databricks utilizes Spark Structured Streaming for processing data incrementally. This allows Auto Loader to efficiently ingest streaming or batch data at scale and to recognize new data as it arrives in cloud storage. Spark Structured Streaming provides the underlying engine that supports various incremental data loading capabilities like schema inference and file notification mode, which are crucial for the dynamic nature of data lakes.

Reference: Databricks documentation on Auto Loader: Auto Loader Overview

The best practice is to use 'Complete' as output mode instead of 'append' when working with aggregated tables. Since gold layer is work final aggregated tables, the only option with output mode as complete is option E.

: In the given command, a data engineer is trying to create a table in Databricks using data from an SQLite database. The correct option to fill in the blank is ''sqlite'' because it specifies the type of database being connected to in a JDBC connection string. TheUSINGclause should be followed by the format of the data, and since we are connecting to an SQLite database, ''sqlite'' would be appropriate here.Reference:

Create a table using JDBC

JDBC connection string

SQLite JDBC driver