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NEW QUESTION: 1
You set up your first Lambda function and want to set up some Cloudwatch metrics to monitor your function.
Which of the following Lambda metrics can Cloudwatch monitor?
A. Total requests and CPU utilization
B. Status Check Failed, total requests, and error rates
C. Total invocations, errors, duration, and throttles
D. Total requests only
Answer: C
Explanation:
Explanation
AWS Lambda automatically monitors functions on your behalf, reporting metrics through Amazon CloudWatch (CloudWatch). These metrics include total invocations, errors, duration, and throttles.
http://docs.aws.amazon.com/lambda/latest/dg/monitoring-functions-metrics.html

NEW QUESTION: 2
Which parameter is configurable when setting up logging on the Connectivity Management Processor?
A. the number of times the log can roll over
B. the number of CMP messages to save in a single log file
C. the directory to save the log file to
D. the severity threshold of the messages to log
Answer: D

NEW QUESTION: 3
ビッグデータワークロードのインフラストラクチャを展開します。
Azure HDInsightとMicrosoft Machine Learning Serverを実行する必要があります。 RevoScaleR計算コンテキストを設定して、rx関数呼び出しを並行して実行する予定です。
Machine Learning Serverに使用できる3つの計算コンテキストは何ですか？それぞれの正解は完全な解決策を提示します。
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。
A. local parallel
B. Spark
C. local sequential
D. HBase
E. SQL
Answer: A,B,E
Explanation:
リモートコンピューティングは、選択したプラットフォーム上の特定のデータソースで利用できます。次の表に、サポートされる組み合わせを示します。
RxInSqlServer、sqlserver：リモートコンピューティングコンテキスト。ターゲットサーバーは単一のデータベースノード（SQL Server
2016 R ServicesまたはSQL Server 2017 Machine Learning Services）。計算は並列ですが、分散されていません。
RxSpark、spark：リモートコンピューティングコンテキスト。ターゲットは、Hadoop上のSparkクラスターです。
RxLocalParallel、localpar：計算コンテキストは、Hadoopに組み込まれたスケジューラーではなく、ユーザーが提供する命令に依存する制御された分散計算を可能にするためによく使用されます。手動分散コンピューティングにコンピューティングコンテキストを使用できます。
参照：
https://docs.microsoft.com/en-us/machine-learning-server/r/concept-what-is-compute-context