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NEW QUESTION: 1
ダウンサイジングにより終了した後、内部監査人は同じ業界の組織で別の仕事を見つけます。次の行動のうち、IIA倫理規定に違反するのはどれですか。
A. 新しい組織の最初の週に、監査人は組織のデータベースを取り巻く詐欺のリスクが高いことを発見し、情報技術部門が新しいパスワードシステムを実装して詐欺行為が発生する前に防止することを提案します。
B. 新しい組織では、監査人は確率比例サイズのサンプリングを実装するためのフォームを作成するように求められます。このタイプのサンプリングの実行方法は不明ですが、監査人は支援を求めずに続行します。
C. 前の組織での監査の準備において、監査人は、財務機能の管理に関するベストプラクティスを特定するために、自宅のインターネットで多くの調査を行いました。監査人は調査の多くを保持しており、それを使用して新しい雇用者の財務機能の監査を実施します。
D. 新しい職務での監査の優先順位を決定するために、監査人は、許可を得ることなく、監査人の以前の雇用主が使用した監査リスクアプローチを使用します。
Answer: B
NEW QUESTION: 2
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 Standard cluster for the data engineers, and a High Concurrency cluster for the jobs.
Does this meet the goal?
A. No
B. Yes
Answer: A
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: 3
Your customer wants to generate costing for internal activities.
For which of the following can you define various rates in Activity Type/Price Planning transaction?
(Choose three)
A. Plant
B. Value category
C. Period
D. Cost center
E. Plan/actual version
Answer: C,D,E
NEW QUESTION: 4
애플리케이션은 Amazon DynamoDB 테이블에서 데이터를 읽습니다. 하루에 여러 번
15 초 동안 응용 프로그램에서 여러 ProvisionedThroughputExceeded 오류가 발생합니다.
이 예외는 어떻게 처리해야 합니까?
A. DynamoDB "UpdateItem"API를 사용하여 테이블의 프로비저닝 된 처리량 용량을 늘리십시오.
B. 실패한 읽기 요청을 즉시 다시 시도하십시오.
C. 지수 백오 프로 실패한 읽기 요청을 다시 시도하십시오.
D. 추가 요청에 도움이 되도록 테이블에 대한 새 글로벌 보조 인덱스를 작성하십시오.
Answer: C
Explanation:
설명:
https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/bp-query-scan.html
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