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NEW QUESTION: 1
Drag and drop the tenant implementation designs from the left onto the outcomes of the design when a greenfield Cisco ACI fabric is deployed on the right.

Answer:
Explanation:

NEW QUESTION: 2
現在の例外を保持することを目的とするプロセスのメインページで、次のプロセスフローを調べます。

デザインの何が問題になっていますか？
A. アラートの送信プロセスは実行されません
B. 例外処理は例外ブロック内ではありません。
C. Recover2によってキャッチされた例外は、Re-Throw Exceptionステージによって保持されません
D. フローはプロセスのメインページ上にあるため、例外がバブルアップする親/呼び出しページがないため、「再スロー」例外ステージがあってはなりません。
Answer: C
Explanation:
理由：再開ステージの後、例外は無効になっているため、スローされたReは機能しません。

NEW QUESTION: 3
Metformin (Glucophage) is administered to clients with type II diabetes mellitus. Metformin is an example of:
A. an antihyperglycemic agent.
B. an insulin analogue.
C. a pancreatic alpha cell stimulant.
D. a hypoglycemic agent.
Answer: A
Explanation:
This antihyperglycemic agent prevents hyperglycemia by reducing hepatic glucose output and decreasing glucose absorption from the gut. A hypoglycemic drug stimulates insulin production. Metformin is not a type of insulin. Metformin is not a stimulant of any pancreatic cell.Pharmacological Therapies

NEW QUESTION: 4
列グループの使用状況を取得し、SHschemaの顧客テーブルのより良い基数予想の拡張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.デュアル声明からSELECTDBMS_STATS. CREATE_EXTENDED_STATS('SH','CUSTOMERS')を発行します。
2.dbms_stats.seed_col_usage (null,'SH',500)プロシージャを実行します。
3.顧客テーブルで必要なクエリーを実行します。
4.デュアル声明から選択dbms_stats.reportwcol_usage('SH', 'customers')を発行します。
正しい手順を識別してください。
A. 3, 2, 4, 1
B. 4, 1, 3, 2
C. 2, 3, 4, 1
D. 3, 2, 1, 4
Answer: C
Explanation:
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 statistics
Here 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.