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NEW QUESTION: 1
When planning intervention for a client during a crisis, which of the following outcomes is most appropriate?
A. The client should explore deep psychological problems.
B. The client should use constructive coping mechanisms.
C. The client should express positive feelings about event.
D. The client should identify needs that are threatened by the event.
Answer: B
Explanation:
Explanation/Reference:
Explanation:
The primary goal of crisis intervention is to relieve the symptoms of anxiety and foster constructive coping.Previous psychological issues might recur during crisis, but the focus is on short-term resolution of the current problem. At the end, the nurse credits a client for positive changes and helps him or her understand what was learned. This allows the client to use the learned coping mechanisms when new problems arise.Psychosocial Integrity

NEW QUESTION: 2
You are performing 802.3 network analysis. For what are the DA and SA fields used in the frame header?
A. Defining either direct access or sourced access
B. Defining the addresses sending and receiving the frame
C. Defining either distance access routing or strict access routing
D. They are not used; addresses are only used in the 802.11 header
Answer: B

NEW QUESTION: 3
AWS Data Pipelineのスケジュールパイプラインに関連付けられた3種類のアイテムの1つである試みは、堅牢なデータ管理を提供します。
次の記述のうち、試行について当てはまらないものはどれですか?
A. AWS Data Pipeline Attemptオブジェクトは、該当する場合、さまざまな試行、結果、および失敗の理由を追跡します。
B. AWS Data Pipeline Attemptオブジェクトは、パイプラインコンポーネントをコンパイルして、アクション可能なインスタンスのセットを作成します。
C. AWS Data Pipelineは、再試行回数が許可されている再試行の最大回数に達するまで、失敗した操作を再試行します。
D. 堅牢なデータ管理の試み。
Answer: B
Explanation:
Explanation
Attempts, one of the three types of items associated with a schedule pipeline in AWS Data Pipeline, provides robust data management. AWS Data Pipeline retries a failed operation. It continues to do so until the task reaches the maximum number of allowed retry attempts. Attempt objects track the various attempts, results, and failure reasons if applicable. Essentially, it is the instance with a counter. AWS Data Pipeline performs retries using the same resources from the previous attempts, such as Amazon EMR clusters and EC2 instances.
http://docs.aws.amazon.com/datapipeline/latest/DeveloperGuide/dp-how-tasks-scheduled.html