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IBM Cognos Analytics v12 Analyst - Professional
- Exam Number/Code : C1000-191
- Exam Name : IBM Cognos Analytics v12 Analyst - Professional
- Questions and Answers : 213 Q&As
- Update Time: 2019-01-10
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NEW QUESTION: 1
Which statement is true?
A. DataWorks has a limited set of data preparation actions whereas DataStage has a more comprehensive set of data transformation capabilities.
B. DataWorks is the only offering in the Information Integration and Governance portfolio that is deployed in the cloud.
C. DataStage has a simpler user interface than DataWorks and is targeted at less technical users.
D. DataWorks and DataStage both support the same set of sources and targets and have comparable throughput.
Answer: A
NEW QUESTION: 2
ある会社には、次のアーキテクチャを持つAmazonEC2デプロイメントがあります。
8つのm4.xlargeインスタンスを含むアプリケーション層
クラシックロードバランサー
永続的なデータストアとしてのAmazonS3
EC2インスタンスの1つに障害が発生した後、ユーザーはリクエストの処理が非常に遅いと報告します。ソリューションアーキテクトは、システムの信頼性を最大化するために設計変更を推奨する必要があります。ソリューションはコストを最小限に抑える必要があります。
ソリューションアーキテクトは何を推奨する必要がありますか?
A. クラシックロードバランサーをアプリケーションロードバランサーに変更します
B. AWS Lambda関数を使用して、既存のEC2インスタンスをサーバーレスデプロイに移行します
C. AutoScalingグループのアプリケーション層をm4.largeインスタンスに置き換えます
D. アプリケーション層を4つのm4.2xlargeインスタンスに置き換えます
デフォルトでは、接続ドレインはアプリケーションロードバランサーで有効になっていますが、クラシックロードバランサーでは有効にする必要があります。接続ドレインが有効化および構成されている場合、Elastic LoadBalancerからインスタンスを登録解除するプロセスに追加の手順が追加されます。構成されたタイムアウトの間、ロードバランサーは、インスタンスに対して行われた既存の処理中のリクエストの完了を許可しますが、インスタンスに新しいリクエストを送信することはありません。この間、APIは、「インスタンスの登録解除が現在進行中です」というメッセージとともに、インスタンスのステータスをInServiceとして報告します。タイムアウトに達すると、残りの接続はすべて強制的に閉じられます。 https://docs.aws.amazon.com/autoscaling/ec2/userguide/attach-load-balancer-asg.html https://aws.amazon.com/blogs/aws/elb-connection-draining-remove-instances -from-service-with-care /
Answer: A
NEW QUESTION: 3
Your company is migrating their 30-node Apache Hadoop cluster to the cloud. They want to re-use Hadoop jobs they have already created and minimize the management of the cluster as much as possible. They also want to be able to persist data beyond the life of the cluster. What should you do?
A. Create a Hadoop cluster on Google Compute Engine that uses persistent disks.
B. Create a Google Cloud Dataflow job to process the data.
C. Create a Hadoop cluster on Google Compute Engine that uses Local SSD disks.
D. Create a Google Cloud Dataproc cluster that uses persistent disks for HDFS.
E. Create a Cloud Dataproc cluster that uses the Google Cloud Storage connector.
Answer: E
NEW QUESTION: 4
How should you configure the filters for the Project5 trigger? To answer, select the appropriate option in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation
Scenario:
References: https://docs.microsoft.com/en-us/azure/devops/pipelines/build/triggers