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NEW QUESTION: 1
Which option is the Cisco recommended method to secure access to the console port?
A. Configure a very short timeout (less than 100 milliseconds) for the port.
B. Set the privilege level to a value less than 15.
C. Configure the activation-character command.
D. Configure an ACL.
Answer: C
Explanation:
The activation-character command defines a session activation character. Entering this character at a vacant terminal begins a terminal session. The default activation character is the Return key To secure the console port, you should change this character to a different one as most
people simply hit the enter key when trying to access the console.

NEW QUESTION: 2
開発者は、Amazon APIGatewayとAWSLambdaを使用してRESTAPIを提供することを計画しています。開発者は、開発、テスト、本番を管理するための3つの異なる環境を用意します。管理するリソースの数を最小限に抑えながら、アプリケーションをどのようにデプロイする必要がありますか？
A. 複数のエイリアスを持つ1つのLambda関数を使用して、複数のステージを持つ1つのAPIゲートウェイを作成します。
B. 1つのAPI Gatewayと1つのLambda関数を作成し、RESTパラメーターを使用して環境を識別します。
C. 同じリージョン内の環境ごとに個別のAPIGatewayと個別のLambda関数を作成します
D. 環境ごとにリージョンを割り当て、APIGatewayとLambdaを各リージョンにデプロイします
Answer: A

NEW QUESTION: 3
Your database supports an online transaction processing (OLTP) workload in which one of the applications creates a temporary table for a session and performs transactions on it. This consumes a lot of undo tablespace and is affecting undo retention.
Which two actions would you take to solve this problem? (Choose two.)
A. Enable Automatic Memory Management (AMM).
B. Increase the size of the redo log buffer.
C. Enable undo retention guarantee.
D. Enable temporary undo for the database.
E. Increase the size of the temporary tablespace.
Answer: D,E

NEW QUESTION: 4
With reference to Hadoop MapReduce in Amazon EMR, which of the following best describes "a user-defined unit of processing, mapping roughly to one algorithm that manipulates the data"?
A. A cluster store
B. A multi-cluster
C. A cluster map
D. A cluster step
Answer: D
Explanation:
A cluster step is a user-defined unit of processing, mapping roughly to one algorithm that manipulates the data.
A step is a Hadoop MapReduce application implemented as a Java jar or a streaming program written in Java, Ruby, Perl, Python, PHP, R, or C++. For example, to count the frequency with which words appear in a document, and output them sorted by the count, the first step would be a MapReduce application which counts the occurrences of each word, and the second step would be a MapReduce application which sorts the output from the first step based on the counts.
Reference: https://aws.amazon.com/elasticmapreduce/faqs/