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NEW QUESTION: 1
Refer to the exhibit.

All of the routers in the network are configured with the ip subnet-zero command. Which network addresses should be used for Link A and Network A? (Choose two.)
A. Network A - 172.16.3.128/25
B. Network A - 172.16.3.192/26
C. Link A - 172.16.3.112/30
D. Link A - 172.16.3.40/30
E. Link A - 172.16.3.0/30
F. Network A - 172.16.3.48/26
Answer: A,E

NEW QUESTION: 2
A tool and technique used during the Perform Qualitative Risk Analysis process is:
A. risk audits.
B. risk data quality assessment.
C. data gathering and representation techniques.
D. variance and trend analysis.
Answer: B
Explanation:
Explanation/Reference:
Explanation:
11.3.2.3 Risk Data Quality Assessment
Risk data quality assessment is a technique to evaluate the degree to which the data about risks is useful for risk management. It involves examining the degree to which the risk is understood and the accuracy, quality, reliability, and integrity of the data about the risk.
The use of low-quality risk data may lead to a qualitative risk analysis of little use to the project. If data quality is unacceptable, it may be necessary to gather better data. Often, the collection of information about risks is diffcult, and consumes more time and resources than originally planned.
Process: 11.3 Perform Qualitative Risk Analysis
Definition: The process of prioritizing risks for further analysis or action by assessing and combining their probability of occurrence and impact.
Key Benefit: The key benefit of this process is that it enables project managers to reduce the level of uncertainty and to focus on high-priority risks.
Inputs
1. Risk management plan
2. Scope baseline
3. Risk register
4. Enterprise environmental factors
5. Organizational process assets
Tools & Techniques
1. Risk probability and impact assessment
2. Probability and impact matrix
3. Risk data quality assessment
4. Risk categorization
5. Risk urgency assessment
6. Expert judgment
Outputs
1. Project documents updates

NEW QUESTION: 3
開発者は、複数のAWSサービスを使用してサーバーレスアプリケーションを作成しました。ビジネスロジックは、サードパーティライブラリに依存するLambda関数として記述されています。 Lambda関数のエンドポイントは、Amazon API Gatewayを使用して公開されます。 Lambda関数は、情報をAmazon DynamoDBに書き込みます。開発者はアプリケーションをデプロイする準備ができていますが、ロールバックする機能が必要です。これらの要件に基づいて、この展開をどのように自動化できますか？
A. AWS CloudFormationテンプレートのサーバーレスアプリケーションモデルに準拠する構文を使用して、Lambda関数リソースを定義します。
B. AWS CloudFormationテンプレートを使用し、CloudFormation構文を使用して、テンプレートでLambda関数リソースを定義します。
C. AWS CLIを使用してアプリケーションをパッケージ化およびデプロイするbashスクリプトを作成します。
D. Amazon Lambda APIオペレーションを使用してデプロイし、デプロイパッケージを提供してLambda関数を作成します。
Answer: A
Explanation:
Refer AWS documentation - SAM Gradual Code Deployment
If you use AWS SAM to create your serverless application, it comes built-in with AWS CodeDeploy to help ensure safe Lambda deployments. With just a few lines of configuration, AWS SAM does the following for you:
Deploys new versions of your Lambda function, and automatically creates aliases that point to the new version.
Gradually shifts customer traffic to the new version until you're satisfied that it's working as expected, or you roll back the update.
Defines pre-traffic and post-traffic test functions to verify that the newly deployed code is configured correctly and your application operates as expected.
Rolls back the deployment if CloudWatch alarms are triggered.