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NEW QUESTION: 1
DRAG DROP
Your company has a Microsoft Azure environment that contains an Azure HDInsight Hadoop cluster and an Azure SQL data warehouse. The Hadoop cluster contains text files that are formatted by using UTF-8 character encoding.
You need to implement a solution to ingest the data to the SQL data warehouse from the Hadoop cluster.
The solution must provide optimal read performance for the data after ingestion.
Which three actions should you perform in sequence? 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:

Answer:
Explanation:

Explanation/Reference:
Explanation:
SQL Data Warehouse supports loading data from HDInsight via PolyBase. The process is the same as loading data from Azure Blob Storage - using PolyBase to connect to HDInsight to load data.
Use PolyBase and T-SQL
Summary of loading process:
Move your data to HDInsight and store it in text files, ORC or Parquet format.

Configure external objects in SQL Data Warehouse to define the location and format of the data.

Run a T-SQL command to load the data in parallel into a new database table.

Recommendations
Create statistics on newly loaded data. Azure SQL Data Warehouse does not yet support auto create or auto update statistics. In order to get the best performance from your queries, it's important to create statistics on all columns of all tables after the first load or any substantial changes occur in the data.
Reference: https://docs.microsoft.com/en-us/azure/sql-data-warehouse/sql-data-warehouse-overview- load#load-from-hdinsight

NEW QUESTION: 2
You need to implement an Azure Databricks cluster that automatically connects to Azure Data Lake Storage Gen2 by using Azure Active Directory (Azure AD) integration.
How should you configure the new cluster? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Explanation

Box 1: High Concurrency
Enable Azure Data Lake Storage credential passthrough for a high-concurrency cluster.
Incorrect:
Support for Azure Data Lake Storage credential passthrough on standard clusters is in Public Preview.
Standard clusters with credential passthrough are supported on Databricks Runtime 5.5 and above and are limited to a single user.
Box 2: Azure Data Lake Storage Gen1 Credential Passthrough
You can authenticate automatically to Azure Data Lake Storage Gen1 and Azure Data Lake Storage Gen2 from Azure Databricks clusters using the same Azure Active Directory (Azure AD) identity that you use to log into Azure Databricks. When you enable your cluster for Azure Data Lake Storage credential passthrough, commands that you run on that cluster can read and write data in Azure Data Lake Storage without requiring you to configure service principal credentials for access to storage.
References:
https://docs.azuredatabricks.net/spark/latest/data-sources/azure/adls-passthrough.html

NEW QUESTION: 3
When the top gatekeeper give the confirmatory response of the address resolution request message, and also give the address analytical results; the singaling should be sent is ( ).
A. GCF
B. RCF
C. UCF
D. LCF
Answer: D