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NEW QUESTION: 1
Fill in the blank.
Which parameter must be passed to ifconfig to activate a previously inactive network interface? (Specify the parameter only without any command, path or additional options)
Answer:
Explanation:
up

NEW QUESTION: 2
You are taking over for someone while they are away on leave. You need to run a playbook against over 600 servers. When you run the playbook you notice that only 10 servers are worked on at any one time.
How would you fix this so that you can have 50 servers worked on at the same time?
A. Edit the /etc/ansible/ansible.cfg file and adjust the 'forks' parameter.
B. Edit the /etc/ansible/servers file and adjust the 'servers' parameter.
C. Edit the /etc/ansible/ansible.cfg file and adjust the 'poll_interval' parameter.
D. Edit the /etc/ansible/hosts file and adjust the 'forks' parameter.
Answer: A
Explanation:
The forks parameter adjust the parallelism of the ansible commands.

NEW QUESTION: 3
SHスキーマのCUSTOMERSテーブルのカーディナリティの見積もりを改善するために、列グループの使用状況をキャプチャし、拡張統計を収集する必要があります。
次の手順を調べます。
1. Issue the SELECT DBMS_STATS.CREATE_EXTENDED_STATS (`SH',
`CUSTOMERS') FROM dual statement.
2. Execute the DBMS_STATS.SEED_COL_USAGE (null, `SH', 500) procedure.
3. Execute the required queries on the CUSTOMERS table.
4. Issue the SELECT DBMS_STATS.REPORT_COL_USAGE (`SH', `CUSTOMERS')
FROM dual statement.
手順の正しい順序を特定します。
A. 4、1、3、2
B. 2、3、4、1
C. 3、2、4、1
D. 3、2、1、4
Answer: B
Explanation:
Step1(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.