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NEW QUESTION: 1
組織は給与システムをアウトソーシングしており、サードパーティの情報技術（IT）システムの完全な監査を実施することを要求しています。デューデリジェンスプロセス中に、第三者はITシステムに関する以前の監査レポートを提供します。
監査報告書が受け入れられるためには、組織は次のうちどれを検討しなければなりませんか？
A. 過去6か月間に監査レポートが発行されました。
B. 監査評価は、独立した評価者によって実施されました。
C. 監査レポートは、サードパーティの上級管理者によって署名されています。
D. 監査評価は国際的な監査会社によって実施されました。
Answer: C

NEW QUESTION: 2
A user has been granted a delegated admin to a custom object. What can he complete on that object. Choose 2
A. Create a new Custom field
B. Modify OWD
C. Modify Sharing Settings
D. Create custom Picklist in that object
Answer: A,D

NEW QUESTION: 3
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this scenario, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You plan to create an Azure Databricks workspace that has a tiered structure. The workspace will contain the following three workloads:
A workload for data engineers who will use Python and SQL
A workload for jobs that will run notebooks that use Python, Spark, Scala, and SQL A workload that data scientists will use to perform ad hoc analysis in Scala and R The enterprise architecture team at your company identifies the following standards for Databricks environments:
The data engineers must share a cluster.
The job cluster will be managed by using a request process whereby data scientists and data engineers provide packaged notebooks for deployment to the cluster.
All the data scientists must be assigned their own cluster that terminates automatically after 120 minutes of inactivity. Currently, there are three data scientists.
You need to create the Databrick clusters for the workloads.
Solution: You create a Standard cluster for each data scientist, a High Concurrency cluster for the data engineers, and a High Concurrency cluster for the jobs.
Does this meet the goal?
A. No
B. Yes
Answer: B
Explanation:
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

NEW QUESTION: 4
DevOpsエンジニアは、バックエンド機能を提供するAWS Lambda関数を使用してAmazon API Gateway APIをデプロイしています。エンジニアは、すべてのAPI呼び出しのソースIPアドレスと応答ステータスを記録する必要があります。
この機能を実装するためにDevOpsエンジニアはどのようなアクションを組み合わせる必要がありますか？ （3つ選択してください。）
A. API Gatewayリクエストのアクセスロギングを有効にするようにAWS X-Rayを構成します。
B. ログデータをAmazon KinesisにストリーミングするようにAPI Gatewayを設定します。
C. 新しいAmazon CloudWatch Logsロググループを作成するか、既存のロググループを選択してログを保存します。
D. 新しいAmazon S3バケットを作成するか、既存のS3バケットを選択してログを保存します。
E. アクセスロギングを有効にし、ロギングフォーマットを選択するようにAPI Gatewayステージを設定します。
F. IAMロールを介してAmazon CloudWatchへのログの読み取りと書き込みを行うAPI Gatewayアクセス許可を付与します。
Answer: D,E,F