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Exam Code: Data-Management-Foundations Dumps

Questions and Answers: 104

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NEW QUESTION: 1
Which CellCLI command is used to conclude that a storage server can be taken offline without impacting database availability?
A. LIST CELLDISK ATTRIBUTES name, raidLevel, asmModeStatus;
B. LIST GRIDDISK ATTRIBUTES name, asmDeactivationOutcome;
C. LIST CELL ATTRIBUTES cellsrvStatus, flashCacheMode;
D. LIST CELLDISK ATTRIBUTES name, raidLevel;
E. LIST GRIDDISK ATTRIBUTES name, status;
Answer: B
Explanation:
ASMDeactivationOutcome - recall that grid disks can be deactivated, which is effectively taking them offline. Since ASM mirroring ensures that the data is located on another disk, making this disk offline does not lose data. However, if the mirror is offline, or is not present, then making this grid disk offline will result in loss of data. This attribute shows whether the grid disk can be deactivated without loss of data. A value of "Yes" indicates you can deactivate this grid disk without data loss.
CellCLI> list griddisk attributes name, ASMDeactivationOutcome, ASMModeStatus
DBFS_DG_CD_02_cell01 Yes ONLINE
DBFS_DG_CD_03_cell01 Yes ONLINE
DBFS_DG_CD_04_cell01 Yes ONLINE
... output truncated ...

NEW QUESTION: 2
loTデバイスからのデータを使用するAl実装のソリューションを設計する予定です。
次の要件を満たすloTデバイス用のデータストレージソリューションを推奨する必要があります。
*データがソリューションにストリーミングされるときに、リアルタイムでデータを照会できます。
*データをソリューションにロードする際の遅延を最小限に抑えます。
推奨事項に何を含めるべきですか?
A. インメモリOLTPが有効になっているMicrosoft Azure SQLデータベース
B. Microsoft Azure HDInsight Hadoopクラスター
C. Microsoft Azure HDInsight Rサーバークラスター
D. Microsoft Azureテーブルストレージソリューション
Answer: B
Explanation:
You can use HDInsight to process streaming data that's received in real time from a variety of devices.
Internet of Things (IoT)
You can use HDInsight to build applications that extract critical insights from data. You can also use Azure Machine Learning on top of that to predict future trends for your business.
By combining enterprise-scale R analytics software with the power of Apache Hadoop and Apache Spark, Microsoft R Server for HDInsight gives you the scale and performance you need. Multi-threaded math libraries and transparent parallelization in R Server handle up to 1000x more data and up to 50x faster speeds than open-source R, which helps you to train more accurate models for better predictions.
References:
https://docs.microsoft.com/en-us/azure/hdinsight/hadoop/apache-hadoop-introduction

NEW QUESTION: 3
ノーザントレイルアウトフィッターズは、顧客へのメッセージを管理する際の作業量を減らす必要がありますが、予算の制約のため、これ以上人員を追加することはできません。ウェブサイトでの顧客の購入数が増えており、チームは現在、バッチ注文確認を送信しています。チームの手動ワークロードを減らし、顧客体験を向上させるソリューションはどれですか?
A. 購入した顧客にメールを送信するためのファイルドロップの自動化。
B. 毎日購入した顧客にメールを送信するためのユーザー開始メッセージ。
C. 顧客が購入を完了するとすぐに電子メールを送信するためのトリガーされたメッセージ。
D. 毎日購入した顧客に電子メールを送信するためのスケジュールされた自動化。
Answer: C

NEW QUESTION: 4
「価値重視」の指針を適用する場合、最初に何をすべきですか?
A. サービスが促進する結果を特定する
B. サービスを提供するコストを決定する
C. 各状況でサービス消費者が誰であるかを決定します
D. サービスに関係するすべてのサプライヤーとパートナーを特定する
Answer: C


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