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NEW QUESTION: 1
Refer to the exhibit.

What Cisco ESA CLI command generated the output?
A. hoststatus
B. workqueuestatus
C. smtproutes
D. tophosts
Answer: D

NEW QUESTION: 2
DevOpsエンジニアが新しいWebアプリケーションを展開しています。同社は、ウェブアプリケーションのデプロイと管理にAWS Elastic Beanstalkを選択し、永続データを処理するためにAmazon RDS MySQLを選択しています。会社は、新しい展開が失敗した場合の影響が最小限であることを要求しています。展開中はアプリケーションリソースがフルキャパシティである必要があり、展開のロールバックも可能でなければなりません。
これらの要件を満たす展開シーケンスはどれですか？
A. Elastic Beanstalkを使用してアプリケーションをデプロイし、Elastic Beanstalk環境プロパティを使用して外部RDS MySQLインスタンスに接続します。ブルー/グリーンデプロイメントのElastic Beanstalk機能を使用して新しいリリースを別の環境にデプロイし、2つの環境でCNAMEを交換して、トラフィックを新しいバージョンにリダイレクトします。
B. Elastic Beanstalkを使用してアプリケーションをデプロイし、RDS MySQLを環境の一部として組み込みます。
デフォルトのElastic Beanstalkの動作を使用して、アプリケーションに変更をデプロイし、ローリング更新によりアプリケーションに変更をデプロイします。
C. Elastic Beanstalkを使用してアプリケーションをデプロイし、RDS MySQLを環境の一部として含めます。
アプリケーションのデプロイには、Elastic Beanstalkの不変の更新を使用します。
D. Elastic Beanstalkを使用してアプリケーションをデプロイし、Elastic Beanstalk環境プロパティを使用して外部RDS MySQLインスタンスに接続します。アプリケーションのデプロイには、Elastic Beanstalkの不変の更新を使用します。
Answer: A

NEW QUESTION: 3
A smart home automation company must efficiently ingest and process messages from various connected devices and sensors. The majority of these messages are comprised of a large number of small files. These messages are ingested using Amazon Kinesis Data Streams and sent to Amazon S3 using a Kinesis data stream consumer application. The Amazon S3 message data is then passed through a processing pipeline built on Amazon EMR running scheduled PySpark jobs.
The data platform team manages data processing and is concerned about the efficiency and cost of downstream data processing. They want to continue to use PySpark.
Which solution improves the efficiency of the data processing jobs and is well architected?
A. Send the sensor and devices data directly to a Kinesis Data Firehose delivery stream to send the data to Amazon S3 with Apache Parquet record format conversion enabled. Use Amazon EMR running PySpark to process the data in Amazon S3.
B. Launch an Amazon Redshift cluster. Copy the collected data from Amazon S3 to Amazon Redshift and move the data processing jobs from Amazon EMR to Amazon Redshift.
C. Set up an AWS Lambda function with a Python runtime environment. Process individual Kinesis data stream messages from the connected devices and sensors using Lambda.
D. Set up AWS Glue Python jobs to merge the small data files in Amazon S3 into larger files and transform them to Apache Parquet format. Migrate the downstream PySpark jobs from Amazon EMR to AWS Glue.
Answer: A

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