Free Oracle 1Z0-060 Exam Braindumps (page: 8)

Identify two valid options for adding a pluggable database (PDB) to an existing multitenant container database (CDB). (Choose two.)

  1. Use the CREATE PLUGGABLE DATABASE statement to create a PDB using the files from the SEED.
  2. Use the CREATE DATABASE ... ENABLE PLUGGABLE DATABASE statement to provision a PDB by copying file from the SEED.
  3. Use the DBMS_PDB package to clone an existing PDB.
  4. Use the DBMS_PDB package to plug an Oracle 12c non-CDB database into an existing CDB.
  5. Use the DBMS_PDB package to plug an Oracle 11g Release 2 (11.2.0.3.0) non-CDB database into an existing CDB.

Answer(s): A,D



Your database supports a DSS workload that involves the execution of complex queries: Currently, the library cache contains the ideal workload for analysis. You want to analyze some of the queries for an application that are cached in the library cache.

What must you do to receive recommendations about the efficient use of indexes and materialized views to improve query performance?

  1. Create a SQL Tuning Set (STS) that contains the queries cached in the library cache and run the SQL Tuning Advisor (STA) on the workload captured in the STS.
  2. Run the Automatic Workload Repository (AWR) report.
  3. Create an STS that contains the queries cached in the library cache and run the SQL Performance Analyzer (SPA) on the workload captured in the STS.
  4. Create an STS that contains the queries cached in the library cache and run the SQL Access Advisor on the workload captured in the STS.
  5. Run the Automatic Database Diagnostic Monitor (ADDM).

Answer(s): D

Explanation:

* SQL Access Advisor is primarily responsible for making schema modification recommendations, such as adding or dropping indexes and materialized views. SQL Tuning Advisor makes other types of recommendations, such as creating SQL profiles and restructuring SQL statements.
* The query optimizer can also help you tune SQL statements. By using SQL Tuning Advisor and SQL Access Advisor, you can invoke the query optimizer in advisory mode to examine a SQL statement or set of statements and determine how to improve their efficiency. SQL Tuning Advisor and SQL Access Advisor can make various recommendations, such as creating SQL profiles, restructuring SQL statements, creating additional indexes or materialized views, and refreshing optimizer statistics.

Note:
* Decision support system (DSS) workload
* The library cache is a shared pool memory structure that stores executable SQL and PL/SQL code. This cache contains the shared SQL and PL/SQL areas and control structures such as locks and library cache handles.



The following parameters are set for your Oracle 12c database instance:


You want to manage the SQL plan evolution task manually. Examine the following steps:

1. Set the evolve task parameters.
2. Create the evolve task by using the DBMS_SPM.CREATE_EVOLVE_TASK function.
3. Implement the recommendations in the task by using the DBMS_SPM.IMPLEMENT_EVOLVE_TASK function.
4. Execute the evolve task by using the DBMS_SPM.EXECUTE_EVOLVE_TASK function.
5. Report the task outcome by using the DBMS_SPM.REPORT_EVOLVE_TASK function.
Identify the correct sequence of steps:

  1. 2, 4, 5
  2. 2, 1, 4, 3, 5
  3. 1, 2, 3, 4, 5
  4. 1, 2, 4, 5

Answer(s): B

Explanation:

* Evolving SQL Plan Baselines

2. Create the evolve task by using the DBMS_SPM.CREATE_EVOLVE_TASK function.
This function creates an advisor task to prepare the plan evolution of one or more plans for a specified SQL statement. The input parameters can be a SQL handle, plan name or a list of plan names, time limit, task name, and description.

1. Set the evolve task parameters. SET_EVOLVE_TASK_PARAMETER
This function updates the value of an evolve task parameter. In this release, the only valid parameter is TIME_LIMIT.

4. Execute the evolve task by using the DBMS_SPM.EXECUTE_EVOLVE_TASK function.
This function executes an evolution task. The input parameters can be the task name, execution name, and execution description. If not specified, the advisor generates the name, which is returned by the function.

3: IMPLEMENT_EVOLVE_TASK
This function implements all recommendations for an evolve task. Essentially, this function is equivalent to using ACCEPT_SQL_PLAN_BASELINE for all recommended plans. Input parameters include task name, plan name, owner name, and execution name.

5. Report the task outcome by using the DBMS_SPM_EVOLVE_TASK function.
This function displays the results of an evolve task as a CLOB. Input parameters include the task name and section of the report to include.



In a recent Automatic Workload Repository (AWR) report for your database, you notice a high number of buffer busy waits. The database consists of locally managed tablespaces with free list managed segments.

On further investigation, you find that buffer busy waits is caused by contention on data blocks. Which option would you consider first to decrease the wait event immediately?

  1. Decreasing PCTUSED
  2. Decreasing PCTFREE
  3. Increasing the number of DBWN process
  4. Using Automatic Segment Space Management (ASSM)
  5. Increasing db_buffer_cache based on the V$DB_CACHE_ADVICE recommendation

Answer(s): D

Explanation:

* Automatic segment space management (ASSM) is a simpler and more efficient way of managing space within a segment. It completely eliminates any need to specify and tune the pctused,freelists, and freelist groups storage parameters for schema objects created in the tablespace. If any of these attributes are specified, they are ignored.
* Oracle introduced Automatic Segment Storage Management (ASSM) as a replacement for traditional freelists management which used one-way linked-lists to manage free blocks with tables and indexes. ASSM is commonly called "bitmap freelists" because that is how Oracle implement the internal data structures for free block management.

Note:
* Buffer busy waits are most commonly associated with segment header contention onside the data buffer pool (db_cache_size, etc.).
* The most common remedies for high buffer busy waits include database writer (DBWR) contention tuning, adding freelists (or ASSM), and adding missing indexes.



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