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NEW QUESTION: 1
A. Option B
B. Option D
C. Option A
D. Option C
Answer: A
Explanation:
Updates in WSUS are approved against "Computer Group" , not AD OUs.For this example, to prevent Server1 to install automatically approved updates,you have to remove Server1 from "Test" computer group and add Server1 into "Production" computer group inWSUS console, manually or use the WSUS GPOClient-Side Targeting feature.https://technet.microsoft.com/en- us/library/cc720450%28v=ws.10%29.aspx?f=255&MSPPError=-2147217396With client- side targeting, you enable client-computers to add themselves to the computer groups you create inthe WSUS console.You can enable client-side targeting through Group Policy (in an Active Directory network environment) or byediting registry entries (in a non-Active
Directorynetwork environment) for the client computers.When the WSUS client computers connect to the WSUS server, they will add themselves into thecorrect computer group.Client-side targeting is an excellent option if you have many client computers and want to automate the processof assigning them to computer groups.First, configure WSUS to allow Client Site Targeting.
Secondly, configure GPO to affect "ProdOU" , so that Server1 add itself to "Production" computer group.https://prajwaldesai.com/how-to-configure-client-side-targeting-in-wsus
NEW QUESTION: 2
A company named Fabrikam, Inc. has a Microsoft Azure web app. Billions of users visit the app daily.
The web app logs all user activity by using text files in Azure Blob storage. Each day, approximately 200 GB of text files are created.
Fabrikam uses the log files from an Apache Hadoop cluster on Azure DHlnsight.
You need to recommend a solution to optimize the storage of the log files for later Hive use.
What is the best property to recommend adding to the Hive table definition to achieve the goal? More than one answer choice may achieve the goal. Select the BEST answer.
A. STORED AS GZIP
B. STORED AS RCFILE
C. STORED AS ORC
D. STORED AS TEXTFILE
Answer: C
Explanation:
Explanation: The Optimized Row Columnar (ORC) file format provides a highly efficient way to store Hive data. It was designed to overcome limitations of the other Hive file formats. Using ORC files improves performance when Hive is reading, writing, and processing data.
Compared with RCFile format, for example, ORC file format has many advantages such as:
*
a single file as the output of each task, which reduces the NameNode's load
*
Hive type support including datetime, decimal, and the complex types (struct, list, map, and union)
*
light-weight indexes stored within the file
*
skip row groups that don't pass predicate filtering
*
seek to a given row
*
block-mode compression based on data type
*
run-length encoding for integer columns
*
dictionary encoding for string columns
*
concurrent reads of the same file using separate RecordReaders
*
ability to split files without scanning for markers
*
bound the amount of memory needed for reading or writing
*
metadata stored using Protocol Buffers, which allows addition and removal of fields
NEW QUESTION: 3
A. Option D
B. Option B
C. Option A
D. Option C
Answer: A