Microsoft Data Engineering on Microsoft Azure (DP-203 Korean Version) - DP-203 Korean FREE EXAM DUMPS QUESTIONS & ANSWERS

Explanation:
Box 1: (CLUSTERED COLUMNSTORE INDEX
CLUSTERED COLUMNSTORE INDEX
Columnstore indexes are the standard for storing and querying large data warehousing fact tables. This index uses column-based data storage and query processing to achieve gains up to 10 times the query performance in your data warehouse over traditional row-oriented storage. You can also achieve gains up to 10 times the data compression over the uncompressed data size. Beginning with SQL Server 2016 (13.x) SP1, columnstore indexes enable operational analytics: the ability to run performant real-time analytics on a transactional workload.
Note: Clustered columnstore index
A clustered columnstore index is the physical storage for the entire table.

To reduce fragmentation of the column segments and improve performance, the columnstore index might store some data temporarily into a clustered index called a deltastore and a B-tree list of IDs for deleted rows.
The deltastore operations are handled behind the scenes. To return the correct query results, the clustered columnstore index combines query results from both the columnstore and the deltastore.
Box 2: HASH([ProductKey])
A hash distributed table distributes rows based on the value in the distribution column. A hash distributed table is designed to achieve high performance for queries on large tables.
Choose a distribution column with data that distributes evenly
Reference: https://docs.microsoft.com/en-us/sql/relational-databases/indexes/columnstore-indexes-overview
https://docs.microsoft.com/en-us/azure/synapse-analytics/sql-data-warehouse/sql-data-warehouse-tables- overview
https://docs.microsoft.com/en-us/azure/synapse-analytics/sql-data-warehouse/sql-data-warehouse-tables- distribute

Explanation:
A computer screen shot of a computer code Description automatically generated

BULK Path (first dropdown):
* Correct Option: abfs:
* Since the storage account uses Azure Data Lake Storage Gen2, the abfs:// (Azure Blob File System) protocol is the correct option for accessing the files.
Path to Query Files:
* The path 'abfs://[email protected]/blob1/' specifies the container (blob1) and the folder (csv) within the storage account.
* This ensures that all files in the csv folder and its subfolders are included in the query.
FORMAT (last dropdown):
* Correct Option: 'CSV'
* This indicates that the queried files are in the CSV format, which matches the requirement in the question.

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Explanation:
To create a bar chart that displays sales by product while minimizing development effort, follow these steps in the correct order:
Correct Order
* Create a SQL script by using Synapse Studio.
* Start by writing a SQL query in Synapse Studio that retrieves the sales by product data from the data stored in Azure Data Lake.
* Add a SELECT statement that will return the sales by product data.
* Write the query in the SQL script, such as:
sql
Copy
SELECT ProductName, SUM(SalesAmount) AS TotalSales
FROM OPENROWSET(
BULK 'https://account1.dfs.core.windows.net/salesdata/',
FORMAT='CSV',
DATA_SOURCE='MyDataSource'
) AS SalesData
GROUP BY ProductName
ORDER BY TotalSales DESC;
* Execute the script.
* Run the SQL script to retrieve the data and ensure it returns the correct results.
* Switch to the Chart view.
* In Synapse Studio, switch to the Chart view to visualize the query results.
* Modify the Chart settings.
* Customize the chart settings to display a bar chart with "ProductName" on the x-axis and
"TotalSales" on the y-axis.
Explanation:
* The sequence ensures that you first retrieve the data correctly, verify it by executing the query, and then switch to the Chart view to visualize the data with minimal development effort.

Explanation:

Explanation:

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Explanation:

Step 1: Create a database role named Role1 and grant Role1 SELECT permissions to schema You need to grant Group1 read-only permissions to all the tables and views in schema1.
Place one or more database users into a database role and then assign permissions to the database role.
Step 2: Assign Rol1 to the Group database user
Step 3: Assign the Azure role-based access control (Azure RBAC) Reader role for dw1 to Group1 Reference:
https://docs.microsoft.com/en-us/azure/data-share/how-to-share-from-sql