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NEW QUESTION: 1
Which of the following statements is NOT true regarding Bigtable access roles?
A. To give a user access to only one table in a project, grant the user the Bigtable Editor role for that table.
B. To give a user access to only one table in a project, you must configure access through your application.
C. Using IAM roles, you cannot give a user access to only one table in a project, rather than all tables in a project.
D. You can configure access control only at the project level.
Answer: A
Explanation:
For Cloud Bigtable, you can configure access control at the project level. For example, you can grant the ability to:
Read from, but not write to, any table within the project.
Read from and write to any table within the project, but not manage instances.
Read from and write to any table within the project, and manage instances.
Reference: https://cloud.google.com/bigtable/docs/access-control
NEW QUESTION: 2
How would you install Cisco Nexus 1000V Series switches for high availability?
A. Install a standalone VSM with VMware 1000v High Availability extension plugin.
B. Install two VSMs in an active/active configuration.
C. Install two VSMs in an active/standby configuration.
D. Only standalone Nexus 1000v Deployments are supported.
Answer: C
Explanation:
Explanation/Reference:
Reference: https://www.cisco.com/c/en/us/td/docs/switches/datacenter/nexus1000/sw/4_0/high_availibility/ configuration/guide/n1000v_ha/ha_1overview.html
NEW QUESTION: 3
取り込みのためにデータを送信する前に、サーバー上のデータをバッチ処理するアプリケーションを構成しました。フロントエンドサーバーまたはアプリケーションサーバーに障害が発生し、ログデータが失われました。どうすればこれが将来起こるのを防ぐことができますか？
正しい答えを選びなさい：
A. システムおよびアプリケーションのログをAmazon Kinesis Streamsに送信し、数秒以内に処理のためにストリームにアクセスします
B. ログファイルがAmazon S3にアップロードされた、または変更されたプロセスを呼び出すためにLambdaをトリガーします
C. システムとアプリケーションのログをAmazon EMRに送信し、数秒以内に処理のためにデータにアクセスする
D. Amazon Machine Learningを使用して履歴ログ情報を入力し、Redshiftを使用してログを分析および保存します
Answer: A
Explanation:
With Amazon Kinesis Streams, you can have producers push data directly into an Amazon Kinesis stream. For example, you can submit system and application logs to Amazon Kinesis Streams and access the stream for processing within seconds. This prevents the log data from being lost if the front-end or application server fails, and reduces local log storage on the source.
Amazon Kinesis Streams provides accelerated data intake because you are not batching up the data on the servers before you submit it for intake.
Reference:
https://d0.awsstatic.com/whitepapers/Big_Data_Analytics_Options_on_AWS.pdf