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NEW QUESTION: 1
How does adopting a serverless model impact application development?
A. prevents developers from focusing on just the application code because you need to provision the underlying infrastructure to run the code
B. slows down the deployment of application code, but it improves the quality of code development
C. reduces the operational overhead necessary to deploy application code
D. costs more to develop application code because it uses more compute resources
Answer: C
NEW QUESTION: 2
あなたの会社は先月GSuiteに移行し、すべての会議室にHangouts MeetHardwareをインストールしたいと考えています。これにより、従業員は部屋に足を踏み入れ、室内のハードウェアを使用して、スケジュールされた会議に簡単に参加できます。分散トレーニングセッションが近づいており、ファシリテーターはリモートルームへの参加をさらに簡単にしたいと考えています。リモートルームの参加者は、セッションに参加するために何もしなくても、自分の部屋に入ってトレーニングを受け始める必要があります。
これをどのように達成する必要がありますか？
A. [カレンダーの招待にライブストリームを追加]を選択します。イベントに追加されたすべての部屋は、スケジュールされた時間に自動参加します。
B. 予定表の招待状に会議室を追加すると、予定された時間にすべての会議室が自動参加します。
C. 部屋の参加者は、部屋のリモコンから会議を開始する必要があります。
D. 管理コンソールで、会議室ハードウェアでデバイスを選択し、[通話]を選択して、会議コードを入力します。
Answer: A
NEW QUESTION: 3
The following DDL statements are executed to create the following objects: CREATE TABLESPACE TS1 BUFFERPOOL BP0 IN DB1; CREATE TABLE USER1.TB1 ( COL1 INTEGER, COL2 VARCHAR(10) ) IN DB1.TS1; CREATE INDEX USER1.IX1 ON USER1.TB1 ( COL2 ) BUFFERPOOL BP0 COPY YES; Next, the following ALTER statements are done (in order): 1) ALTER TABLESPACE DB1.TS1 BUFFERPOOL BP8K0 MAXPARTITIONS 20; 2) ALTER TABLESPACE DB1.TS1 SEGSIZE 64; 3) ALTER INDEX USER1.IX1 BUFFERPOOL BP16K0; Which of the following will materialize all of the changes with the least amount of work?
A. REORG TABLESPACE DB1.TS1 SHRLEVEL REFERENCE
B. Nothing needs to be done.
C. REORG TABLESPACE DB1.TS1 SHRLEVEL REFERENCE
REORG INDEX USER1.IX1 SHRLEVEL CHANGE
D. REORG INDEX USER1.IX1 SHRLEVEL CHANGE
Answer: A
NEW QUESTION: 4
An online gaming site asked you if you can deploy a database that is a fast, highly scalable NoSQL database service in AWS for a new site that he wants to build. Which database should you recommend?
A. Amazon DynamoDB
B. Amazon SimpleDB
C. Amazon RDS
D. Amazon Redshift
Answer: A
Explanation:
Amazon DynamoDB is ideal for database applications that require very low latency and predictable performance at any scale but don't need complex querying capabilities like joins or transactions. Amazon DynamoDB is a fully-managed NoSQL database service that offers high performance, predictable throughput and low cost. It is easy to set up, operate, and scale.
With Amazon DynamoDB, you can start small, specify the throughput and storage you need, and easily scale your capacity requirements on the fly. Amazon DynamoDB automatically partitions data over a number of servers to meet your request capacity. In addition, DynamoDB automatically replicates your data synchronously across multiple Availability Zones within an AWS Region to ensure high-availability and data durability.
Reference: https://aws.amazon.com/running_databases/#dynamodb_anchor