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NEW QUESTION: 1
You need to extract details of those products in the SALES table where the PROD_ID column contains the string '_D123'. Which WHERE clause could be used in the
SELECT statement to get the required output?
A. WHERE prod_id LIKE '%_D123%' ESCAPE '%_'
B. WHERE prod_id LIKE '%_D123%' ESCAPE '_'
C. WHERE prod_id LIKE '%\_D123%' ESCAPE '\_'
D. WHERE prod_id LIKE '%\_D123%' ESCAPE '\'
Answer: D
NEW QUESTION: 2
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than once correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You are designing a one-way integration from the Common Data Service to another system.
You must use an Azure Function to update the other system. The integration must send only newly created records to the other system. The solution must support scenarios where a component of the integration is unavailable for more than a few seconds to avoid data loss.
You need to design the integration solution.
Solution: Register a webhook in the Common Data Service that connects to the Azure Function. Register a step on the webhook which runs synchronously on the record's Create message and in the post-operation stage.
Does the solution meet the goal?
A. Yes
B. No
Answer: B
Explanation:
Instead use asynchronous communication.
NEW QUESTION: 3
DRAG DROP
Match each server family to the type of environment it has been designed to fit Drop and Connect:
Answer:
Explanation:
Explanation:
NEW QUESTION: 4
Note: This question is part of series of questions that present the same scenario. Each question in the series contain a unique solution. Determine whether the solution meets the stated goals.
You develop a data ingestion process that will import data to a Microsoft Azure SQL Data Warehouse. The data to be ingested resides in parquet files stored in an Azure Data Lake Gen 2 storage account.
You need to load the data from the Azure Data Lake Gen 2 storage account into the Azure SQL Data Warehouse.
Solution:
1. Use Azure Data Factory to convert the parquet files to CSV files
2. Create an external data source pointing to the Azure storage account
3. Create an external file format and external table using the external data source
4. Load the data using the INSERT...SELECT statement
Does the solution meet the goal?
A. Yes
B. No
Answer: B
Explanation:
There is no need to convert the parquet files to CSV files.
You load the data using the CREATE TABLE AS SELECT statement.
References:
https://docs.microsoft.com/en-us/azure/sql-data-warehouse/sql-data-warehouse-load-from-azure-data-lake-store