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NEW QUESTION: 1
Your network contains an Active Directory domain named contoso.com.
The domain contains two member servers named Server1 and Server2.
All servers run Windows Server 2012 R2. Server1 and Server2 have the Failover Clustering feature installed.
The servers are configured as nodes in a failover cluster named Cluster1.
Cluster1 has access to four physical disks.
The disks are configured as shown in the following table.

You need to identify which disk can be added to a Clustered Storage Space in Cluster1.
Which disk should you identify?
A. Disk3
B. Disk2
C. Disk4
D. Disk1
Answer: B

NEW QUESTION: 2
Which tool or technique measures performance of the project as it moves from project initiation through project closure?
A. Pareto chart
B. Earned value
C. Parametric measuring
D. Resource leveling
Answer: B
Explanation:
Explanation/Reference:
Explanation:
7.4.2.1 Earned Value Management
Earned value management (EVM) is a methodology that combines scope, schedule, and resource measurements to assess project performance and progress. It is a commonly used method of performance measurement for projects. It integrates the scope baseline with the cost baseline, along with the schedule baseline, to form the performance measurement baseline, which helps the project management team assess and measure project performance and progress. It is a project management technique that requires the formation of an integrated baseline against which performance can be measured for the duration of the project.

NEW QUESTION: 3
You have a SharePoint hybrid environment.
You have the following PowerShell script.

What is the effect of running the script?
A. replaces an expired certificate for Active Directory and SharePoint Online.
B. configures on-premises SharePoint Server for federated authentication to Microsoft Azure Active Directory (Azure AD).
C. replaces an expired certificate for Microsoft Azure Active Directory (Azure AD) and on-premises SharePoint Server.
D. configures SharePoint for hybrid search.
Answer: C

NEW QUESTION: 4
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 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 are designing an HDInsight/Hadoop cluster solution that uses Azure Data Lake Gen1 Storage.
The solution requires POSIX permissions and enables diagnostics logging for auditing.
You need to recommend solutions that optimize storage.
Proposed Solution: Implement compaction jobs to combine small files into larger files.
Does the solution meet the goal?
A. No
B. Yes
Answer: B
Explanation:
Explanation/Reference:
Explanation:
Depending on what services and workloads are using the data, a good size to consider for files is 256 MB
or greater. If the file sizes cannot be batched when landing in Data Lake Storage Gen1, you can have a
separate compaction job that combines these files into larger ones.
Note: POSIX permissions and auditing in Data Lake Storage Gen1 comes with an overhead that becomes
apparent when working with numerous small files. As a best practice, you must batch your data into larger
files versus writing thousands or millions of small files to Data Lake Storage Gen1. Avoiding small file sizes
can have multiple benefits, such as:
Lowering the authentication checks across multiple files

Reduced open file connections

Faster copying/replication

Fewer files to process when updating Data Lake Storage Gen1 POSIX permissions

References:
https://docs.microsoft.com/en-us/azure/data-lake-store/data-lake-store-best-practices