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NEW QUESTION: 1
(single) Is the following description correct? The DC upgrade tool requires the license. If there is no license, the default can be 30 concurrently. If there is a license, the maximum can be 60 concurrent.
A. True
B. False
Answer: B

NEW QUESTION: 2

class MyTask extends RecursiveTask<Integer> {
final int low;
final int high;
static final int THRESHOLD = /* . . . */
MyTask (int low, int high) { this.low = low; this.high = high; }
Integer computeDirectly()/* . . . */
protected void compute() {
if (high - low <= THRESHOLD)
return computeDirectly();
int mid = (low + high) / 2;
invokeAll(new MyTask(low, mid), new MyTask(mid, high));

A. Option A
B. Option B
C. Option C
D. Option F
E. Option D
F. Option E
Answer: A,E
Explanation:
D: the compute() method must return a result.
A: These results must be combined (in the line invokeAll(new MyTask(low, mid), new MyTask(mid, high));)
Note 1: A RecursiveTask is a recursive result-bearing ForkJoinTask.
Note 2: The invokeAll(ForkJoinTask<?>... tasks) forks the given tasks, returning when isDone holds for each task or an (unchecked) exception is encountered, in which case the exception is rethrown.
Note 3: Using the fork/join framework is simple. The first step is to write some code that performs a segment of the work. Your code should look similar to this:
if (my portion of the work is small enough) do the work directly else split my work into two pieces invoke the two pieces and wait for the results Wrap this code as a ForkJoinTask subclass, typically as one of its more specialized types RecursiveTask(which can return a result) or RecursiveAction.

NEW QUESTION: 3
レガシーWebアプリケーションは、独自のテキスト形式でアクセスログを保存します。セキュリティ要件の1つは、アプリケーションアクセスイベントを検索し、それらを多くの異なるシステムからのアクセスデータと関連付けることです。これらの検索はほぼリアルタイムでなければなりません。アプリケーションサーバーの処理負荷を軽減し、ほぼリアルタイムでデータを検索するメカニズムを提供するソリューションはどれですか。
A. アプリケーションサーバーにAmazon CloudWatch Logsエージェントをインストールし、CloudWatchイベントルールを使用してアクセスイベントのログを検索します。イベントを検索するためのインターフェースとしてAmazon CloudSearchを使用します。
B. サードパーティのファイル入力プラグインLogstashを使用してアプリケーションログファイルを監視し、エージェントでカスタム分析フィルターを使用してログエントリをJSON形式に解析します。検索するイベントをAmazon ESに出力します。 Elasticsearch APIを使用してデータをクエリします。
C. S3 syncコマンドを使用して、ログファイルをAmazon S3にアップロードします。 Amazon Athenaを使用してデータの構造をテーブルとして定義し、Athena SQLクエリを使用してアクセスイベントを検索します。
D. アプリケーションサーバーにAmazon Kinesisエージェントをインストールし、ログファイルを監視するように設定して、Kinesisストリームに送信します。 AWS Lambda関数を使用してデータを変換し、分析のためにイベントをAmazon ESに転送するようにKinesisを設定します。 Elasticsearch APIを使用してデータをクエリします。
Answer: D
Explanation:
https://docs.aws.amazon.com/zh_cn/streams/latest/dev/writing-with-agents.html