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NEW QUESTION: 1
Which area of embedded devices are most commonly attacked?
A. Protocol
B. Application
C. Firmware
D. Physical Interface
Answer: B

NEW QUESTION: 2
企業は、サードパーティのSaaSアプリケーションを使用したいと考えています。 SaaSアプリケーションは、企業のアカウント内で実行されているAmazon EC2リソースを検出するために、いくつかのAPIコマンドを発行するためのアクセス権を持っている必要があります。企業には、環境への外部アクセスが最小限の特権の原則に従う必要がある内部セキュリティポリシーがあり、SaaSベンダーが使用する資格情報を他の第三者が使用できないことを保証するためのコントロールが必要です。
これらの条件をすべて満たすのは次のうちどれですか。
A. クロスアカウントアクセス用のIAMロールを作成し、SaaSプロバイダーのアカウントにロールを引き受けさせ、SaaSアプリケーションに必要なアクションのみを許可するポリシーを割り当てます。
B. エンタープライズアカウント内にIAMユーザーを作成し、SaaSアプリケーションに必要なアクションのみを許可するユーザーポリシーをIAMユーザーに割り当て、ユーザーの新しいアクセスと秘密キーを作成し、これらの資格情報をSaaSプロバイダーに提供します。
C. AWSマネジメントコンソールから[セキュリティ認証情報]ページに移動し、アカウントのアクセスとシークレットキーを取得します。
D. EC2インスタンスのIAMロールを作成し、SaaSアプリケーションが動作するために必要なアクションのみを許可するポリシーを割り当て、アプリケーションインスタンスの起動時に使用するロールARNをSaaSプロバイダーに提供します。
Answer: A
Explanation:
https://docs.aws.amazon.com/IAM/latest/UserGuide/tutorial_cross-account-with-roles.html

NEW QUESTION: 3
What does the Tree Security section of a WFA role configure?
Please choose the correct answer.
A. Defines the Start Page and any menu restrictions
B. Restricts access to measures from the measures contents menu and all tools
C. Defines the tools and dimensions available to the user
D. Defines exactly which data a user in this role will have access to
Answer: D

NEW QUESTION: 4
MapReduce v2 (MRv2/YARN) splits which major functions of the JobTracker into separate daemons? Select two.
A. Heath states checks (heartbeats)
B. Managing file system metadata
C. Resource management
D. Job scheduling/monitoring
E. Launching tasks
F. Job coordination between the ResourceManager and NodeManager
G. Managing tasks
H. MapReduce metric reporting
Answer: C,D
Explanation:
The fundamental idea of MRv2 is to split up the two major functionalities of the
JobTracker, resource management and job scheduling/monitoring, into separate daemons. The
idea is to have a global ResourceManager (RM) and per-application ApplicationMaster (AM). An
application is either a single job in the classical sense of Map-Reduce jobs or a DAG of jobs.
Note:
The central goal of YARN is to clearly separate two things that are unfortunately smushed together
in current Hadoop, specifically in (mainly) JobTracker:
/ Monitoring the status of the cluster with respect to which nodes have which resources available.
Under YARN, this will be global.
/ Managing the parallelization execution of any specific job. Under YARN, this will be done
separately for each job.
Reference: Apache Hadoop YARN - Concepts & Applications