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NEW QUESTION: 1
For account-based commerce, the checkout layout can contain B2B-specific widgets that support accounts as well as general B2C widgets.
At a minimum, which two widget instances should be included on a B2B Checkout layout? (Choose two.)
A. Account-Address Selector widget instance
B. Payment Methods widget instance
C. Purchase List widget instance
D. Order Details widget instance
E. Promotions widget instance
Answer: A,D
NEW QUESTION: 2
A. Option C
B. Option B
C. Option A
D. Option D
Answer: C
NEW QUESTION: 3
You manage a process that performs analysis of daily web traffic logs on an HDInsight cluster. Each of 250 web servers generates approximately gigabytes (GB) of log data each day. All log data is stored in a single folder in Microsoft Azure Data Lake Storage Gen 2.
You need to improve the performance of the process.
Which two changes should you make? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.
A. Increase the value of the mapreduce.map.memory parameter
B. Move the log files into folders so that each day's logs are in their own folder
C. Increase the value of the hive.tez.container.size parameter
D. Increase the number of worker nodes
E. Combine the daily log files for all servers into one file
Answer: B,E
Explanation:
Explanation
A: Typically, analytics engines such as HDInsight and Azure Data Lake Analytics have a per-file overhead.
If you store your data as many small files, this can negatively affect performance. In general, organize your data into larger sized files for better performance (256MB to 100GB in size). Some engines and applications might have trouble efficiently processing files that are greater than 100GB in size.
C: For Hive workloads, partition pruning of time-series data can help some queries read only a subset of the data which improves performance.
Those pipelines that ingest time-series data, often place their files with a very structured naming for files and folders. Below is a very common example we see for data that is structured by date:
\DataSet\YYYY\MM\DD\datafile_YYYY_MM_DD.tsv
Notice that the datetime information appears both as folders and in the filename.
References:
https://docs.microsoft.com/en-us/azure/storage/blobs/data-lake-storage-performance-tuning-guidance
NEW QUESTION: 4
회사는 동일한 가상 사설 클라우드 (VPC) 내에서 웹 사이트와 HR (Human Resources) 응용 프로그램을 모두 실행합니다. 회사 규정 준수 및 보안상의 이유로 HR 애플리케이션 스택을 실행하는 인스턴스는 다른 AWS 고객과 하드웨어를 공유하지 않아야합니다. 웹 사이트 소유자는 인프라 비용을 가능한 한 낮게 유지하려고 합니다. 단일 VPC 내에서 모든 요구 사항이 충족되는지 어떻게 확인할 수 있습니까?
A. 전용 임대로 VPC를 만들고 게재 위치 그룹에 HR 인스턴스를 시작한 다음 공유 테넌트에서 웹 사이트 인스턴스를 시작합니다.
B. 기본 임대로 VPC를 만들고, 전용 임차인에서 HR 인스턴스를 실행하고, 공유 임차인에서 웹 사이트 인스턴스를 실행합니다.
C. 전용 임대로 VPC를 만들고 기본 임대에서 HR 인스턴스를 실행하고 공유 임대에서 웹 사이트 인스턴스를 시작합니다.
D. 기본 임대로 VPC를 만들고, 게재 위치 그룹에서 HR 인스턴스를 실행하고, 공유 테넌트에서 웹 사이트 인스턴스를 실행합니다.
Answer: B