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NEW QUESTION: 1
Which two will compile, and can be run successfully using the command:
Java fred1 hello walls

A. Option A
B. Option B
C. Option C
D. Option D
Answer: C,D
Explanation:
Throwsjava.lang.ArrayIndexOutOfBoundsException: 2 at certquestions.Fred1.main(Fred1.java:3)
C. Prints out: [Ljava.lang.String;@39341183
D. Prints out: walls

NEW QUESTION: 2
Examine the following command that is used to create a table:

Which two statements are true about the effect of the above command? (Choose two.)
A. A NOT NULL constraint is created on the OID column
B. A CHECK constraint is created on the OID column
C. The ORDERS table is the only object created in the USERS tablespace
D. The ORDERS table is created in the USERS tablepsace and a unique index is created on the OID column in the SYSTEM tablespace
E. The ORDERS table and a unique index are created in the USERS tablespace
Answer: A,E

NEW QUESTION: 3

A. Cloud Dataproc, Cloud Pub/Sub, Cloud SQL, and Cloud Dataflow
B. Cloud Dataflow, Cloud Storage, Cloud Pub/Sub, and BigQuery
C. Cloud Pub/Sub, Compute Engine, Cloud Storage, and Cloud Dataproc
D. Container Engine, Cloud Pub/Sub, and Cloud SQL
E. Cloud SQL, Cloud Storage, Cloud Pub/Sub, and Cloud Dataflow
Answer: B
Explanation:
Ingest millions of streaming events per second from anywhere in the world with Cloud Pub/Sub, powered by Google's unique, high-speed private network. Process the streams with Cloud Dataflow to ensure reliable, exactly-once, low-latency data transformation. Stream the transformed data into BigQuery, the cloud-native data warehousing service, for immediate analysis via SQL or popular visualization tools.
From scenario: They plan to deploy the game's backend on Google Compute Engine so they can capture streaming metrics, run intensive analytics.
Requirements for Game Analytics Platform
1. Dynamically scale up or down based on game activity
2. Process incoming data on the fly directly from the game servers
3. Process data that arrives late because of slow mobile networks
4. Allow SQL queries to access at least 10 TB of historical data
5. Process files that are regularly uploaded by users' mobile devices
6. Use only fully managed services
References: https://cloud.google.com/solutions/big-data/stream-analytics/

NEW QUESTION: 4
開発チームは手動でアーティファクトをローカルで作成し、AmazonS3バケットに配置します。アプリケーションにはローカルキャッシュがあり、展開が発生したときにクリアする必要があります。チームはこれを行うコマンドを実行し、Amazon S3からアーティファクトをダウンロードし、アーティファクトを解凍してデプロイを完了します。
DevOpsチームは、CI / CDプロセスに移行し、チェックを組み込んで、障害が発生したときに展開を停止してロールバックしたいと考えています。これには、チームが展開の進行状況を追跡する必要があります。
これを達成するアクションの組み合わせはどれですか？ （3つ選択してください。）
A. AWS CodeBuildを使用してアーティファクトをビルドし、AmazonS3に配置します。 AWS CodeDeployを使用して、アーティファクトをAmazonEC2インスタンスにデプロイします。
B. アプリケーションをデプロイするようにAWSCodePipelineを設定します。開発者がパイプラインのソースとしてコードをコードリポジトリにチェックインできるようにします。
C. 開発者がコードをコードリポジトリにチェックインできるようにします。 Amazon CloudWatchイベントを使用して、マスターにプルするたびに、AWS Lambda関数をトリガーしてアーティファクトをビルドし、Amazonに保存します
D. AWS SystemsManagerを使用してAmazonS3からアーティファクトをフェッチし、それをすべてのインスタンスにデプロイします。
E. キャッシュをクリアするカスタムスクリプトを作成します。 AppSpecファイルのBeforelnstallライフサイクルフックでスクリプトを指定します。
F. クリアキャッシュスクリプトを含む各AmazonEC2インスタンスのユーザーデータを作成します。デプロイしたら、アプリケーションをテストします。成功しない場合は、再度デプロイしてください。
Answer: A,B,C