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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 questions sets might have more than one 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 have an Azure subscription that contains an Azure Storage account. You plan to implement changes to a data storage solution to meet regulatory and compliance standards. Every day, Azure needs to identify and delete blobs that were NOT modified during the last 100 days. Solution: You apply an Azure Blob storage lifecycle policy. Does this meet the goal?
Yes
No

Yes

Azure Blob storage lifecycle management offers a rich, rule-based policy for GPv2 and Blob storage accounts.
Use the policy to transition your data to the appropriate access tiers or expire at the end of the data's lifecycle.
The lifecycle management policy lets you:
Transition blobs to a cooler storage tier (hot to cool, hot to archive, or cool to archive) to optimize for
performance and cost
Delete blobs at the end of their lifecycles
Define rules to be run once per day at the storage account level
Apply rules to containers or a subset of blobs (using prefixes as filters)
Reference:
https://docs.microsoft.com/en-us/azure/storage/blobs/storage-lifecycle-management-concepts?tabs=azure-portal

You have an Azure data solution that contains an Azure SQL data warehouse named DW1. Several users execute adhoc queries to DW1 concurrently. You regularly perform automated data loads to DW1. You need to ensure that the automated data loads have enough memory available to complete quickly and successfully when the adhoc queries run What should you do?
Hash distribute the large fact tables in DW1 before performing the automated data loads.
Assign a larger resource class to the automated data load queries
Create sampled statistics for every column in each table of DW1.
Assign a smaller resource class to the automated data load queries.

Assign a larger resource class to the automated data load queries

To ensure the loading user has enough memory to achieve maximum compression rates, use loading users that
are a member of a medium or large resource class.
References:
https://docs.microsoft.com/en-us/azure/sql-data-warehouse/guidance-for-loading-data

Use the following login credentials as needed:
Azure Username: xxxxx
Azure Password: xxxxx
The following information is for technical support purposes only:
Lab Instance: 10543936

You need to ensure that all REST API calls to an Azure Storage account named storage10543936 use HTTPS only.

To complete this task, sign in to the Azure portal.
See the explanation below.

You can configure your storage account to accept requests from secure connections only by setting the Secure
transfer required property for the storage account.
Require secure transfer for an existing storage account
1. Select the existing storage account storage10543936 in the Azure portal.
2. In the storage account menu pane, under SETTINGS, select Configuration.
3. Under Secure transfer required, select Enabled.

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Assign a larger resource class to the automated data load queries

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