You have a table in an Azure Synapse Analytics dedicated SQL pool. The table was created by using the following Transact-SQL statement. You need to alter the table to meet the following requirements: ✑ Ensure that users can identify the current manager of employees. ✑ Support creating an employee reporting hierarchy for your entire company. ✑ Provide fast lookup of the managers' attributes such as name and job title. Which column should you add to the table?

You have an Azure Synapse workspace named MyWorkspace that contains an Apache Spark database named mytestdb. You run the following command in an Azure Synapse Analytics Spark pool in MyWorkspace. CREATE TABLE mytestdb.myParquetTable( EmployeeID int, EmployeeName string, EmployeeStartDate date) USING Parquet - You then use Spark to insert a row into mytestdb.myParquetTable. The row contains the following data. One minute later, you execute the following query from a serverless SQL pool in MyWorkspace. SELECT EmployeeID - FROM mytestdb.dbo.myParquetTable WHERE EmployeeName = 'Alice'; What will be returned by the query?

DRAG DROP - You have a table named SalesFact in an enterprise data warehouse in Azure Synapse Analytics. SalesFact contains sales data from the past 36 months and has the following characteristics: ✑ Is partitioned by month ✑ Contains one billion rows ✑ Has clustered columnstore index At the beginning of each month, you need to remove data from SalesFact that is older than 36 months as quickly as possible. Which three actions should you perform in sequence in a stored procedure? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order. Select and Place:

You have files and folders in Azure Data Lake Storage Gen2 for an Azure Synapse workspace as shown in the following exhibit. You create an external table named ExtTable that has LOCATION='/topfolder/'. When you query ExtTable by using an Azure Synapse Analytics serverless SQL pool, which files are returned?

HOTSPOT - You are planning the deployment of Azure Data Lake Storage Gen2. You have the following two reports that will access the data lake: ✑ Report1: Reads three columns from a file that contains 50 columns. ✑ Report2: Queries a single record based on a timestamp. You need to recommend in which format to store the data in the data lake to support the reports. The solution must minimize read times. What should you recommend for each report? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point. Hot Area:

You are designing the folder structure for an Azure Data Lake Storage Gen2 container. Users will query data by using a variety of services including Azure Databricks and Azure Synapse Analytics serverless SQL pools. The data will be secured by subject area. Most queries will include data from the current year or current month. Which folder structure should you recommend to support fast queries and simplified folder security?

HOTSPOT - You need to output files from Azure Data Factory. Which file format should you use for each type of output? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point. Hot Area:

HOTSPOT - You use Azure Data Factory to prepare data to be queried by Azure Synapse Analytics serverless SQL pools. Files are initially ingested into an Azure Data Lake Storage Gen2 account as 10 small JSON files. Each file contains the same data attributes and data from a subsidiary of your company. You need to move the files to a different folder and transform the data to meet the following requirements: ✑ Provide the fastest possible query times. ✑ Automatically infer the schema from the underlying files. How should you configure the Data Factory copy activity? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point. Hot Area:

HOTSPOT - You have a data model that you plan to implement in a data warehouse in Azure Synapse Analytics as shown in the following exhibit. All the dimension tables will be less than 2 GB after compression, and the fact table will be approximately 6 TB. The dimension tables will be relatively static with very few data inserts and updates. Which type of table should you use for each table? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point. Hot Area:

HOTSPOT - You have an Azure Data Lake Storage Gen2 container. Data is ingested into the container, and then transformed by a data integration application. The data is NOT modified after that. Users can read files in the container but cannot modify the files. You need to design a data archiving solution that meets the following requirements: ✑ New data is accessed frequently and must be available as quickly as possible. ✑ Data that is older than five years is accessed infrequently but must be available within one second when requested. ✑ Data that is older than seven years is NOT accessed. After seven years, the data must be persisted at the lowest cost possible. ✑ Costs must be minimized while maintaining the required availability. How should you manage the data? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point Hot Area: