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Linux Foundation CNPA - Certified Cloud Native Platform Engineering Associate Exam Braindumps

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  • Certification Provider:Linux Foundation
  • Exam Code:CNPA
  • Exam Name:Certified Cloud Native Platform Engineering Associate Exam Exam
  • Total Questions:276 Questions and Answers
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NEW QUESTION: 1
You have a Power Automate flow that saves attachments from emails into OneDrive for Business. You need to determine why the flow is not working.
What are three possible ways to achieve the goal? Each correct answer presents a complete solution. NOTE: Each correct selection is worth one point.
A. Navigate to the Power Automate admin center and view the projects.
B. Navigate to the Action Items section of the Power Automate portal.
C. Navigate to the Power Automate web portal and click view notifications.
D. Navigate to the flow and view the run history.
E. Enable Repair Tips for the flow.
Answer: C,D,E
Explanation:
Reference:
https://docs.microsoft.com/en-us/power-automate/fix-flow-failures

NEW QUESTION: 2
When you create an Oracle WLS for OCI instance you have the option to use Oracle Identity Cloud Service to authenticate application users for your domain.
Which Statement is false when you Enable Authentication Using Identity Cloud Service?
A. A trusted or confidential application has to be defined in Oracle Identity Cloud Service and associated with the WebLogic server instance using application client ID and client secret.
B. This configuration is only available if the domain meets these requirements: running WebLogic Server 12c and including a load balancer.
C. By default, all requests whose URI begins with /_protected (two underscore characters followed by the word "protected") are protected.
D. The WebLogic Server security realm in the service instance is configured to use Oracle Identity Cloud Service for authentication only.
Answer: D
Explanation:
https://docs.oracle.com/en/cloud/paas/weblogic-cloud/user/using-oracle-weblogic-server-oracle-cloud-infrastructure.pdf

NEW QUESTION: 3
会社は、数ペタバイトのデータセットをクラウドに移行することを計画しています。データセットは24時間利用可能でなければなりません。ビジネスアナリストは、SQLインターフェイスを使用した経験しかありません。分析を容易にするために、データをどのように保存して最適化する必要がありますか?
A. データをGoogle Cloud SQLに挿入します。
B. データをGoogle Cloud Datastoreにストリーミングします。
C. フラットファイルをGoogle Cloud Storageに配置します。
D. データをGoogle BigQueryにロードします。
Answer: D
Explanation:
説明
Google Big Queryは、マルチペタバイトストレージ、HA(高可用性)、つまり24時間、SQLインターフェイス用です

https://medium.com/google-cloud/the-12-components-of-google-bigquery-c2b49829a7c7
https://cloud.google.com/solutions/bigquery-data-warehouse
https://cloud.google.com/bigquery/
BigQueryは、すべてのデータアナリストの生産性を高めるように設計された、Googleのサーバーレスで拡張性の高い低コストのエンタープライズデータウェアハウスです。管理するインフラストラクチャがないため、使い慣れたSQLを使用してデータの分析に集中して有意義な洞察を見つけることができ、データベース管理者は必要ありません。
BigQueryを使用すると、オブジェクトストレージやスプレッドシートからのデータだけでなく、管理された円柱状のストレージ上に論理データウェアハウスを作成することにより、すべてのデータを分析できます。
参照:https://cloud.google.com/bigquery/

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