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Don't let past steal your present.
NEW QUESTION: 1
Which photo format requires XMP metadata for the photo to be stored in a sidecar file instead of being written directly into the file?
A. DNG
B. Camera Raw
C. JPEG
D. TIFF
Answer: B
NEW QUESTION: 2
Which of the following disaster recovery tests includes the operations that shut down at the primary site, and are shifted to the recovery site according to the disaster recovery plan?
A. Parallel test
B. Structured walk-through test
C. Full-interruption test
D. Simulation test
Answer: C
NEW QUESTION: 3
You manage a process that performs analysis of daily web traffic logs on an HDInsight cluster. Each of the
250 web servers generates approximately 10megabytes (MB) 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. Combine the daily log files for all servers into one file
B. Increase the value of the hive.tez.containerize parameter
C. Move the log files into folders so that each day's logs are in their own folder
D. Increase the value of the mapreduce map memory parameter
E. Increase the number of worker nodes
Answer: A,C
Explanation:
Explanation
A: Typically, analytics engines such as HDInsight and Azure Data Lake Analytics has a per-five 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 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.
Reference:
https://docs.microsoft.com/en-us/azure/storage/blobs/data-lake-storage-performance-tuning-guidance
NEW QUESTION: 4
複数のリソースグループを含むAzureサブスクリプションがあります。次の展示に示すように、可用性セットを作成します。
10台の仮想マシンをAS1にデプロイします。
ドロップダウンメニューを使用して、図に示されている情報に基づいて各ステートメントを完成させる回答の選択肢を選択します。
注：それぞれの正しい選択には1ポイントの価値があります。
Answer:
Explanation:
Explanation
Box 1: 6
Two out of three update domains would be available, each with at least 3 VMs.
An update domain is a group of VMs and underlying physical hardware that can be rebooted at the same time.
As you create VMs within an availability set, the Azure platform automatically distributes your VMs across these update domains. This approach ensures that at least one instance of your application always remains running as the Azure platform undergoes periodic maintenance.
Box 2: the West Europe region and the RG1 resource group
References:
https://docs.microsoft.com/en-us/azure/virtual-machines/windows/regions-and-availability