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NEW QUESTION: 1
ユーザーがUS-East-1a地域でEBSを使用したEC2インスタンスを起動しました。
ユーザーはインスタンスを停止し、20日後に再開しました。
AWSは「InsufficientInstanceCapacity」エラーをスローします。
考えられる理由は何でしょうか。
A. ユーザーアカウントが最大EC2インスタンス制限に達しました
B. そのユーザーアカウントのAWSゾーンマッピングが変更されました
C. インスタンスが起動されるホスト容量に問題があります
D. AWSはそのアベイラビリティーゾーンに十分な容量がありません
Answer: D
Explanation:
ユーザーがEC2インスタンスの起動中または起動中に「InsufficientInstanceCapacity」エラーを受け取った場合、AWSは現在、ユーザーリクエストを処理するのに十分な利用可能な容量がないことを意味します。ユーザーが多数のインスタンスを要求している場合、それらをホストするのに十分なサーバー容量がない可能性があります。新しいインスタンスを起動する場合は、ユーザーは後でもっと少ない数のインスタンスを指定するか、アベイラビリティーゾーンを変更することによって再試行できます。

NEW QUESTION: 2
Ziehen Sie die Funktionen von links auf die richtigen Netzwerkkomponenten rechts

Answer:
Explanation:

NEW QUESTION: 3
You are designing an Al solution that must meet the following processing requirements:
* Use a parallel processing framework that supports the in-memory processing of high volumes of data.
* Use in-memory caching and a columnar storage engine for Apache Hive queries.
What should you use to meet each requirement? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Explanation

Box 1: Apache Spark
Apache Spark is a parallel processing framework that supports in-memory processing to boost the performance of big-data analytic applications. Apache Spark in Azure HDInsight is the Microsoft implementation of Apache Spark in the cloud.
Box 2: Interactive Query
Interactive Query provides In-memory caching and improved columnar storage engine for Hive queries.
References:
https://docs.microsoft.com/en-us/azure/hdinsight/spark/apache-spark-overview
https://docs.microsoft.com/bs-latn-ba/azure/hdinsight/interactive-query/apache-interactive-query-get-started

NEW QUESTION: 4
Which attribute of data poses the biggest challenge for data discovery?
A. Quality
B. Labels
C. Format
D. Volume
Answer: A
Explanation:
Explanation
The main problem when it comes to data discovery is the quality of the data that analysis is being performed against. Data that is malformed, incorrectly stored or labeled, or incomplete makes it very difficult to use analytical tools against.