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NEW QUESTION: 1
You are developing a solution using a Lambda architecture on Microsoft Azure.
The data at test layer must meet the following requirements:
Data storage:
*Serve as a repository (or high volumes of large files in various formats.
*Implement optimized storage for big data analytics workloads.
*Ensure that data can be organized using a hierarchical structure.
Batch processing:
*Use a managed solution for in-memory computation processing.
*Natively support Scala, Python, and R programming languages.
*Provide the ability to resize and terminate the cluster automatically.
Analytical data store:
*Support parallel processing.
*Use columnar storage.
*Support SQL-based languages.
You need to identify the correct technologies to build the Lambda architecture.
Which technologies should you use? To answer, select the appropriate options in the answer area NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Explanation

Data storage: Azure Data Lake Store
A key mechanism that allows Azure Data Lake Storage Gen2 to provide file system performance at object storage scale and prices is the addition of a hierarchical namespace. This allows the collection of objects/files within an account to be organized into a hierarchy of directories and nested subdirectories in the same way that the file system on your computer is organized. With the hierarchical namespace enabled, a storage account becomes capable of providing the scalability and cost-effectiveness of object storage, with file system semantics that are familiar to analytics engines and frameworks.
Batch processing: HD Insight Spark
Aparch Spark is an open-source, parallel-processing framework that supports in-memory processing to boost the performance of big-data analysis applications.
HDInsight is a managed Hadoop service. Use it deploy and manage Hadoop clusters in Azure. For batch processing, you can use Spark, Hive, Hive LLAP, MapReduce.
Languages: R, Python, Java, Scala, SQL
Analytic data store: SQL Data Warehouse
SQL Data Warehouse is a cloud-based Enterprise Data Warehouse (EDW) that uses Massively Parallel Processing (MPP).
SQL Data Warehouse stores data into relational tables with columnar storage.
References:
https://docs.microsoft.com/en-us/azure/storage/blobs/data-lake-storage-namespace
https://docs.microsoft.com/en-us/azure/architecture/data-guide/technology-choices/batch-processing
https://docs.microsoft.com/en-us/azure/sql-data-warehouse/sql-data-warehouse-overview-what-is

NEW QUESTION: 2
You have a server named Server1 that runs Windows Server 2016. Server1 has the Windows Server Update Services server role installed.
Windows Server Update Services (WSUS) updates for Server1 are stored on a volume named
D. The hard disk that contains volume D fails.
You replace the hard disk. You recreate volume D and the WSUS folder hierarchy in the volume.
You need to ensure that the updates listed in the WSUS console are available in the WSUS folder. What should you run?
A. wsusutil.exe /import
B. wsusutil.exe /reset
C. Set-WsusServerSynchronization
D. Invoke-WsusServerCleanup
Answer: B
Explanation:
Explanation
https://technet.microsoft.com/en-us/library/cc720466%28v=ws.10%29.aspx?f=255& MSPPError=-2147217396 WSUSutil.exe is a tool that you can use to manage your WSUS server from the command line. WSUSutil.exeis located in the %drive%\\Program Files\\UpdateServices\\Tools folder on your WSUS server.You can run specific commands with WSUSutil.exe to perform specific functions, as summarized in thefollowing table.The syntax you would use to run WSUSutil.exe with specific commands follows the table.

NEW QUESTION: 3
There are basic goals of Cryptography. Which of the following most benefits from the process of encryption?
A. Non-Repudiation
B. Authentication
C. Confidentiality
D. Integrity
Answer: C
Explanation:
Encryption would be one of your last layer within Defense in Depth. When we encrypt files, for the most part they are useless to anyone (they can't get access to the plaintext) except the person possessing the encryption key to decrypt the files.
With strong encryption we can assume that they are safe so long as the encryption key is secured.
This process provides confidentiality that the data has not been divulged, even if captured
(Sniffed) or otherwise stolen while in transit or in storage.
Consider this mnemonic to help you remember the basic cryptographic goals:
P: Privacy (or confidentiality)
A: Authentication
I: Integrity
N: Non-repudiation
The following answers are incorrect:
Authentication: Authentication isn't insured by encryption alone. Incorrect.
Integrity: Encryption doesn't insure integrity. Hashing algorithms would be used instead.
Sorry. Incorrect answer.
Non-repudiation: Sorry, encryption alone doesn't insure non-repudiation. You would need to have a valid Public Key Infrastructure (PKI) in place along with the proper processes.
The following reference(s) was used to create this question:
Gregg, Michael; Haines, Billy (2012-02-16). CASP: CompTIA Advanced Security
Practitioner Study Guide Authorized Courseware: Exam CAS-001 (p. 3). Wiley. Kindle
Edition.