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NEW QUESTION: 1
AWS Data Pipelineの同じパイプラインで複数のコンピューティングリソースをどのように使用できますか？
A. アクティビティに複数のクラスタを定義することで、同じパイプラインで複数のコンピューティングリソースを使用できます。
B. 複数のクラスター定義ファイルを定義することで、同じパイプラインで複数の計算リソースを使用できます。
C. 定義ファイルで複数のクラスタオブジェクトを定義し、runsOnフィールドを介して各アクティビティに使用するクラスタを関連付けることで、同じパイプラインで複数のコンピューティングリソースを使用できます。
D. 同じパイプラインで複数のコンピューティングリソースを使用することはできません。
Answer: C
Explanation:
Explanation
Multiple compute resources can be used on the same pipeline in AWS Data Pipeline by defining multiple cluster objects in your definition file and associating the cluster to use for each activity via its runs On field, which allows pipelines to combine AWS and on premise resources, or to use a mix of instance types for their activities.
https://aws.amazon.com/datapipeline/faqs/

NEW QUESTION: 2
A teacher has 12 pieces of candy for each of his 20 students. However, 5 students do not want any. If all the candy is distributed evenly to the remaining students, how many pieces will each receive?
A. 0
B. 1
C. 2
D. 3
E. 4
Answer: E

NEW QUESTION: 3
The address 6FFE:FFFF:0000:2F3B:04AC:00FF:FEBE:5C4A is an example of which of the following?
A. IPv6
B. APIPA
C. IPv4
D. MAC
Answer: A