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NEW QUESTION: 1
You implement a Windows Server 2016 failover cluster named Cluster1 as a highly available file server.
You run the Get-Cluster cmdlet and receive the following output.
Use the drop-down menus to select the answer choice that completes each statement based on the information presented in the graphic.
Answer:
Explanation:
Explanation
NEW QUESTION: 2
Which of the following statements is NOT a valid reason to use MP-BGP as a routing protocol to transport
VPRN routes?
A. MP-BGP is designed to exchange information between routers that are not directly connected. This
feature keeps VPRN routing information out of P-routers.
B. The number of VPRN routes can become very large. MP-BGP can support a very large number of
routes.
C. MP-BGP can carry additional information attached to a route as an optional BGP attribute.
D. MP-BGP can carry routing information for a number of different address families.
E. All of the above statements are valid reasons for using MP-BGP as a VPRN routing protocol.
Answer: E
NEW QUESTION: 3
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