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NEW QUESTION: 1
組織は、国内市場の40％のシェアを獲得するという目標を達成していますが、1時間の労働時間あたりの投資収益率と生産量を得ることができません。この情報に基づいて、組織は次のうちどれに焦点を当てている可能性が高いですか？
A. マーケティングではなく設備投資
B. 設備投資ではなく、マーケティング。
C. 効率であり、投入経済ではありません。
D. 効率ではなく有効性。
Answer: D

NEW QUESTION: 2
A content label sometimes depends on information only available at runtime, or the meaning of a View might change over time. For example, a Play button might change to a Pause button during music playback. In these cases, to update the content label at the appropriate time, we can use:
A. View#setContentDescription(int contentDescriptionResId)
B. View#setContentLabel(CharSequence contentDescription)
C. View#setContentLabel(int contentDescriptionResId)
D. View#setContentDescription(CharSequence contentDescription)
Answer: D
Explanation:
Reference:
https://support.google.com/accessibility/android/answer/7158690?hl=en

NEW QUESTION: 3
You work for an online education company. You need to analyze click data from test takers. You need to know which questions were skipped and which questions customers chose to save for later. The data will be used in real time to modify the question sequence as students click through the test. Which option meets the requirements for captioning and analyzing this data? Choose the correct answer:
A. Utilize Amazon S3 to log clicks and then analyze with EMR
B. Push to Amazon SQS queue and send events to Amazon RDS and analyze withSQL
C. Push web clicks by session to Amazon Kinesis and analyze behavior with the Kinesis Client Library to instantiate Kinesis workers
D. Utilize Amazon Redshift and then analyze with Data Pipeline
Answer: C
Explanation:
The Kinesis Client Library acts as an intermediary between your record processing logic and streams. When you start a KCL application, it calls the KCL to instantiate aworker. This call provides the KCL with configuration information for the application, such as the stream name and AWS credentials. The KCL performs the following tasks: Connects to the stream Enumerates the shards Coordinates shard associations with other workers (if any) Instantiates a record processor for every shard it manages Pulls data records from the stream Pushes the records to the corresponding record processor Checkpoints processed records Balances shard-worker associations when the worker instance count changes Balances shard-worker associations when shards are split or merged Reference:
http://docs.aws.amazon.com/streams/latest/dev/developing-consumers-with-kcl.html