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NEW QUESTION: 1
Azure Service Busがあります。
メッセージの先入れ先出し（FIFO）配信を保証するService Busキューを実装する必要があります。
あなたは何をするべきか？
A. パーティショニングを有効にする
B. セッションを有効にする
C. キューの最大サイズ設定を5 GBに設定します
D. 重複検知を有効にする
E. Lock Durationの設定を
Answer: B
Explanation:
説明
参考文献：
https://docs.microsoft.com/en-us/azure/service-bus-messaging/service-bus-azure-and-service-bus-queuescompar
NEW QUESTION: 2
ID27695510のワイヤレスエンジニアがRF問題のトラブルシューティングを行っています。 軽量WLANアーキテクチャのどのデバイスがRF管理を担当していますか？
A. MSE
B. WLC
C. Prime Infrastructure
D. Lightweight access point
Answer: B
NEW QUESTION: 3
楕円曲線暗号を使用する利点はどれですか？
A. 実装の容易さ
B. 対称鍵交換
C. 量子攻撃に対する耐性
D. 操作の効率
Answer: D
NEW QUESTION: 4
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. 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.
C. 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.
D. 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.
Answer: A
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