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NEW QUESTION: 1
Your company uses a Git repository in Azure Repos to manage the source code of a web application. The master branch is protected from direct updates. Developers work on new features in the topic branches.
Because of the high volume of requested features, it is difficult to follow the history of the changes to the master branch.
You need to enforce a pull request merge strategy. The strategy must meet the following requirements:
Consolidate commit histories.

Merge the changes into a single commit.

Which merge strategy should you use in the branch policy?
A. squash merge
B. no-fast-forward merge
C. Git fetch
D. fast-forward merge
Answer: A
Explanation:
Explanation/Reference:
Explanation:
Squash merging is a merge option that allows you to condense the Git history of topic branches when you complete a pull request. Instead of each commit on the topic branch being added to the history of the default branch, a squash merge takes all the file changes and adds them to a single new commit on the default branch.
A simple way to think about this is that squash merge gives you just the file changes, and a regular merge gives you the file changes and the commit history.
Note: Squash merging keeps your default branch histories clean and easy to follow without demanding any workflow changes on your team. Contributors to the topic branch work how they want in the topic branch, and the default branches keep a linear history through the use of squash merges. The commit history of a master branch updated with squash merges will have one commit for each merged branch. You can step through this history commit by commit to find out exactly when work was done.
References: https://docs.microsoft.com/en-us/azure/devops/repos/git/merging-with-squash

NEW QUESTION: 2
Given a default setup of ISAM, ITDS and a Microsoft SharePoint backend.
A Web environment is experiencing performance issues. In order to analyze tracing is temporary switched on using the following commands.
server task web04-webseald-unix08 trace set pdweb.debug 2 file path=/tmp/trace.log
server task web04-webseald-unix08 trace set pdweb.debug 0
During analysis of the trace.log various common occurrences appear, the following trace.log extract displays only the lines important for this question.
2013-05-26-22:08:01.681+02:00I ----------------- Browser ===> PD ----------------- 2013-0526-22:08:01.684+02:00I ----------------- Browser <=== PD ----------------- 2013-05-2622:08:09.283+02:00I ----------------- Browser ===> PD ----------------- 2013-05-2622:08:16.682+02:00I ----------------- PD ===> BackEnd ----------------- 2013-05-2622:08:17.049+02:00I ----------------- PD <=== BackEnd ----------------- 2013-05-2622:08:17.051+02:00I ----------------- Browser <=== PD ----------------
What can be concluded by analyzing this traceexcerpt?
A. This excerpt indicates that the backend has a performance issue.
B. This excerpt indicates no performance or other issues.
C. This excerpt indicates that ITDS has a performance issue.
D. This excerpt indicates that the backend is not available.
Answer: C

NEW QUESTION: 3
You are designing a solution that uses Azure Cosmos DB to store and serve data.
You need to design the Azure Cosmos DB storage to meet the following requirements:
* Provide high availability.
* Provide a recovery point objective (RPO) of less than 15 minutes.
* Provide a recovery time objective (RTO) of less than two minutes.
* Minimize data loss in the event of a disaster.
What should you include in the design? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Explanation

Box 1: Multiple
For higher write availability, configure your Azure Cosmos account to have multiple write regions.
Box 2: Bounded staleness

Reference:
https://docs.microsoft.com/en-us/azure/cosmos-db/high-availability
https://docs.microsoft.com/en-us/azure/cosmos-db/consistency-levels#consistency-levels-and-throughput