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NEW QUESTION: 1
The customer reports that one of their critical applications is performing poorly when running inside an Integrity VM guest. The application primarily uses CPU resources when running. The CPU configuration of the VM guest is as follows:

What arethe recommended changesto improve the CPU performance of this VM guest? (Select two)
A. Configure additional virtual CPUs for the VM guest
B. Increase the minimum CPU entitlement to 20%
C. Change the CPU entitlement to "capped" mode
D. Increase the minimum CPU entitlement to 50%
E. Change the CPU entitlement to 'uncapped" mode
Answer: A,E

NEW QUESTION: 2
A company builds an application to allow developers to share and compare code. The conversations, code snippets, and links shared by people in the application are stored in a Microsoft Azure SQL Database instance. The application allows for searches of historical conversations and code snippets.
When users share code snippets, the code snippet is compared against previously share code snippets by using a combination of Transact-SQL functions including SUBSTRING, FIRST_VALUE, and SQRT. If a match is found, a link to the match is added to the conversation.
Customers report the following issues:
Delays occur during live conversations
A delay occurs before matching links appear after code snippets are added to conversations You need to resolve the performance issues.
Which technologies should you use? To answer, drag the appropriate technologies to the correct issues. Each technology may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:
Explanation

Box 1: memory-optimized table
In-Memory OLTP can provide great performance benefits for transaction processing, data ingestion, and transient data scenarios.
Box 2: materialized view
To support efficient querying, a common solution is to generate, in advance, a view that materializes the data in a format suited to the required results set. The Materialized View pattern describes generating prepopulated views of data in environments where the source data isn't in a suitable format for querying, where generating a suitable query is difficult, or where query performance is poor due to the nature of the data or the data store.
These materialized views, which only contain data required by a query, allow applications to quickly obtain the information they need. In addition to joining tables or combining data entities, materialized views can include the current values of calculated columns or data items, the results of combining values or executing transformations on the data items, and values specified as part of the query. A materialized view can even be optimized for just a single query.
References:
https://docs.microsoft.com/en-us/azure/architecture/patterns/materialized-view

NEW QUESTION: 3
You need to create a policy that identifies content in Microsoft OneDrive that contains credit card numbers.
To complete this task, sign in to the Microsoft 365 portal.
Answer:
Explanation:
See explanation below.
Explanation
You need to configure auto-labeling in 'simulation' mode. In the policy, you can select the 'Credit Card' sensitive info type.
* In the Microsoft 365 compliance center, navigate to sensitivity labels:
Solutions > Information protection
* Select the Auto-labeling (preview) tab.
* Select + Create policy.
* For the page Choose info you want this label applied to: Select one of the templates, such as Financial or Privacy. You can refine your search by using the Show options for dropdown. Or, select Custom policy if the templates don't meet your requirements. Select
* For the page Name your auto-labeling policy: Provide a unique name, and optionally a description to help identify the automatically applied label, locations, and conditions that identify the content to label.
* For the page Choose locations where you want to apply the label: Select OneDrive. Then select Next.
* For the Define policy settings Find content that contains to define rules that identify content to label across all your selected locations. The rules use conditions that include sensitive information types and sharing options. For sensitive information types, you can select both built-in and custom sensitive information types.
* Then select Next.
* For the Set up rules to define what + Create rule and then select Next.
* On the Create rule page, name and define your rule, using sensitive information types and then select Save.
* Click Next.
* For the Choose a label to auto-apply page: Select + Choose a label, select a label from the Choose a sensitivity label pane, and then select Next.
* For the Decide if you want to run policy simulation now or later page: Select Run policy in simulation mode if you're ready to run the auto-labeling policy now, in simulation mode. Otherwise, select Leave policy turned off. Select Next.
* For the Summary page: Review the configuration of your auto-labeling policy and make any changes that needed, and complete the wizard.
Reference:
https://docs.microsoft.com/en-us/microsoft-365/compliance/apply-sensitivity-label-automatically?view=o365-wo

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