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NEW QUESTION: 1
Universal Pastriesは、ケースをクローズした後、コミュニティの顧客を調査したいと考えています。彼らはこれをどのように達成しますか？
A. サーベイVisualforceページの作成
B. サーベイ照明コンポーネントを作成する
C. AppExchange Survey Lightningコンポーネントを使用する
D. 標準の調査Lightningコンポーネントを使用
Answer: C

NEW QUESTION: 2
A large company uses an AAA server to manage network device access. The engineers can use their domain credentials to access all other servers. Currently the network engineers cannot access the AAA server using domain credentials but they can access it using a local account. Which of the following should the engineers update?
A. Server IP address
B. Host-based firewall settings
C. DNS SRV record
D. TACACS+ server time
Answer: A

NEW QUESTION: 3
チームメンバーは、プロジェクトマネージャーに、利害関係者が他の利害関係者への進捗レポートの限られた配布を要求したことを通知します。プロジェクトマネージャーはどうすればよいですか。
A. リクエストに従ってチームメンバーに依頼し、スポンサーに通知する
B. このリクエストをプロジェクトスポンサーにエスカレーションして、さらに検討してもらいます。
C. 関係者に、この要求を含む新しいプロジェクト憲章を作成してもらいます。
D. コミュニケーション管理計画に従う必要があることを関係者に説明する
Answer: D

NEW QUESTION: 4
注：この質問は、同じシナリオを提示する一連の質問の一部です。シリーズの各質問には、記載された目標を達成する可能性のある独自のソリューションが含まれています。一部の質問セットには複数の正しい解決策がある場合もあれば、正しい解決策がない場合もあります。
このシナリオで質問に答えた後、その質問に戻ることはできません。その結果、これらの質問はレビュー画面に表示されません。
階層構造を持つAzure Databricksワークスペースを作成する予定です。ワークスペースには、次の3つのワークロードが含まれます。
* PythonとSQLを使用するデータエンジニア向けのワークロード
* Python、Spark、Scala、およびSQLを使用するノートブックを実行するジョブのワークロード
*データサイエンティストがScalaおよびRでアドホック分析を実行するために使用するワークロード会社のエンタープライズアーキテクチャチームは、Databricks環境の次の標準を特定します。
*データエンジニアはクラスターを共有する必要があります。
*ジョブクラスターは、要求プロセスを使用して管理されます。これにより、データサイエンティストとデータエンジニアは、クラスターに展開するためのパッケージノートブックを提供します。
*すべてのデータサイエンティストには、非アクティブな状態が120分続くと自動的に終了する独自のクラスターを割り当てる必要があります。現在、3人のデータサイエンティストがいます。
ワークロード用のDatabrickクラスターを作成する必要があります。
解決策：各データサイエンティスト用の標準クラスター、データエンジニア用の標準クラスター、およびジョブ用の高並行性クラスターを作成します。
これは目標を達成していますか？
A. はい
B. いいえ
Answer: B
Explanation:
We need a High Concurrency cluster for the data engineers and the jobs.
Note:
Standard clusters are recommended for a single user. Standard can run workloads developed in any language: Python, R, Scala, and SQL.
A high concurrency cluster is a managed cloud resource. The key benefits of high concurrency clusters are that they provide Apache Spark-native fine-grained sharing for maximum resource utilization and minimum query latencies.
References:
https://docs.azuredatabricks.net/clusters/configure.html