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NEW QUESTION: 1
列グループの使用をキャプチャして、SHスキーマのCUSTOMERS表のより良い基数の見積もりのために拡張された統計情報を収集したいと思います。
次の手順を確認します:
1.SELECT DBMS_STATS.CREATE_EXTENDED_STATS ('SH', 'CUSTOMERS')
FROMデュアルステートメントを発行します。
2.DBMS_STATS.SEED_COL_USAGE（null、'SH'、500）の手順を実行します。
3.CUSTOMERS表に必要なクエリーを実行します。
4.SELECT DBMS_STATS.REPORT_COL_USAGE ('SH', 'CUSTOMERS') FROMデュアルステートメントを発行します。
正しい手順を識別してください。
A. 3, 2, 1, 4
B. 3, 2, 4, 1
C. 4, 1, 3, 2
D. 2, 3, 4, 1
Answer: D
Explanation:
Step 1 (2). Seed column usage
Oracle must observe a representative workload, in order to determine the appropriate column groups. Using the new procedure DBMS_STATS.SEED_COL_USAGE, you tell Oracle how long it should observe the workload.
Step 2: (3) You don't need to execute all of the queries in your work during this window. You can simply run explain plan for some of your longer running queries to ensure column group information is recorded for these queries.
Step 3. (1) Create the column groups
At this point you can get Oracle to automatically create the column groups for each of the tables based on the usage information captured during the monitoring window. You simply have to call the DBMS_STATS.CREATE_EXTENDED_STATS function for each table.This function requires just two arguments, the schema name and the table name. From then on, statistics will be maintained for each column group whenever statistics are gathered on the table.
Note:
* DBMS_STATS.REPORT_COL_USAGE reports column usage information and records all the SQL operations the database has processed for a given object.
* The Oracle SQL optimizer has always been ignorant of the implied relationships between data columns within the same table. While the optimizer has traditionally analyzed the distribution of values within a column, he does not collect value-based relationships between columns.
* Creating extended statisticsHere are the steps to create extended statistics for related table columns withdbms_stats.created_extended_stats:
1 - The first step is to create column histograms for the related columns.2 - Next, we run dbms_stats.create_extended_stats to relate the columns together.
Unlike a traditional procedure that is invoked via an execute ("exec") statement, Oracle extended statistics are created via a select statement.
NEW QUESTION: 2
ビジネスは、機能性およびプロジェクトマネージャーが従業員をオンラインで評価できるようにする、新しいオンラインパフォーマンス管理ツールを実装しました。
このアクションは、次のいずれかと呼ばれますか？
A. Organizational change
B. Business process change
C. Internal reorganization
D. Business continuity planning
Answer: B
Explanation:
References:
Kim Heldman, CompTIA Project+ Study Guide, 2nd Edition, Sybex, Indianapolis, 2017, p. 297
NEW QUESTION: 3
開発チームは、多くのOS依存関係と言語ランタイム依存関係からなるアプリケーションスタックを持っています。アプリケーションをプロダクション環境にデプロイする際の最も重要な要素は、インスタンスがどれだけ早く操作可能になるかです。
要件を満たすために実行環境を更新するためにどのような展開方法を使用する必要がありますか？
A. AWS Lambda関数を使用して各インスタンス上でローカルにのみアプリケーションを更新し、プロセスが完了したらそれをロードバランサーに再接続します。
B. ビルドが成功するたびに作成されたフルベイクドAMI（ "ゴールデンイメージ"）、新しいAuto Scalingグループの作成、およびロールバックを伴う青/緑の展開を使用します。
C. AWS OpsWorksスクリプトを使用して各インスタンスの再起動時に実行し、既知のすべての依存関係をインストールしてから、インスタンスをロードバランサーに再接続します。
D. ユーザーデータスクリプトを使用して、必要に応じてすべての依存関係をインストールして、起動時にインスタンスを正しく設定します。
Answer: B
Explanation:
承認済み/ゴールデンAMIは、事前に設定されたOSと、アプリケーションを実行するために完全に設定されたサーバーソフトウェアの明確に定義されたスタックを含む基本EC2マシンイメージです。