1Z0-084 VALID EXAM SAMPLE - 1Z0-084 TEST VCE FREE

1Z0-084 Valid Exam Sample - 1Z0-084 Test Vce Free

1Z0-084 Valid Exam Sample - 1Z0-084 Test Vce Free

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Oracle 1Z0-084 Certification Exam is a rigorous test that requires a thorough understanding of Oracle Database 19c performance and tuning management. Candidates who pass 1Z0-084 exam demonstrate their knowledge and expertise in this area, which can open up new career opportunities and enhance their job prospects. Oracle Database 19c Performance and Tuning Management certification also validates the candidate's skills and knowledge to their employers, making them a valuable asset to the organization.

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Oracle Database 19c Performance and Tuning Management Sample Questions (Q28-Q33):

NEW QUESTION # 28
Which two statements are true about session wait information contained in v$session or v$session_wait?

  • A. Rows for sessions that are currently waiting have a wait time of 0.
  • B. Rows for sessions that are currently waiting have their wait time incremented every microsecond.
  • C. Rows for sessions that are not waiting always contain the total wait time since the session started.
  • D. Rows for sessions that are not waiting might contain the actual wait time for the last event for which they waited.
  • E. Rows for sessions displaying WAITED UNKNOWN TIME in the STATE column indicate that the session is still waiting.

Answer: A,D

Explanation:
In theV$SESSIONview, Oracle provides information about the session waits:
B: When theWAIT_TIMEcolumn has a value of 0, it signifies that the session is currently waiting for a resource. This column represents the duration of the current or last wait.
C: If the session is not actively waiting, theWAIT_TIMEcolumn shows the time the session spent waiting for the last wait event. If theSTATEcolumn is showing "WAITED KNOWN TIME", it means the session is not currently waiting, but it indicates the time for which it had waited.
References:
* Oracle Database Reference, 19c
* Oracle Database Performance Tuning Guide, 19c


NEW QUESTION # 29
The CURS0R_SHARING and OPTIMIZER_CAPTURE_SQL_PLAN_BASELINES parameters are set to default. The top five wait events in an awr report are due to a large number of hard parses because of several almost identical SQL statements.
Which two actions could reduce the number of hard parses?

  • A. Increase the size of the library cache.
  • B. Create the RECYCLE cache and cache tables accessed by the SQL statements.
  • C. Create the KEEP cache and cache tables accessed by the SQL statements.
  • D. Set OPTIMIZER_CAPTURE_SQL_PLAN_BASELINES to TRUE.
  • E. Set the CURSOR_SHARING parameter to FORCE.

Answer: A,E

Explanation:
To reduce the number of hard parses due to several almost identical SQL statements, you can take the following actions:
* C (Correct): Increasing the size of the library cache can help reduce hard parses by providing more memory to store more execution plans. This allows SQL statements to be shared more effectively.
* E (Correct): Setting the CURSOR_SHARING parameter to FORCE will cause Oracle to replace literals in SQL statements with bind variables, which can significantly reduce the number of hard parses by making it more likely that similar SQL statements will share the same execution plan.
The other options do not directly impact the number of hard parses:
* A (Incorrect): Creating the KEEP cache and caching tables accessed by the SQL statements can improve performance for those tables, but it does not directly reduce the number of hard parses.
* B (Incorrect): Creating the RECYCLE cache and caching tables accessed by the SQL statements can make it more likely that objects will be removed from the cache quickly, which does not help with hard parse issues.
* D (Incorrect): Setting OPTIMIZER_CAPTURE_SQL_PLAN_BASELINES to TRUE can help stabilize SQL execution plans but will not reduce the number of hard parses. This parameter is used to automatically capture SQL plan baselines for repeatable SQL statements, which can prevent performance regressions due to plan changes.
References:
* Oracle Database Performance Tuning Guide: Minimizing Hard Parses
* Oracle Database SQL Tuning Guide: CURSOR_SHARING


NEW QUESTION # 30
A database instance is suffering poor I/O performance on two frequently accessed large tables.
No Big Table caching occurs in the database.
Examine these parameter settings:

Which are two actions either one of which will allow Big Table caching to occur?

  • A. Increasing DB_BIG_TABLE_CACHE_PERCENT_TARGET to at least 25
  • B. Setting PARALLEL_DEGREE_POLICYAUTO
  • C. Setting DB_KEEP_CACHE_SIZE to at least 50M
  • D. Increasing DB_BIG_TABLE_CACHE_PERCENT_TARGET to at least 50
  • E. Setting PARALLEL_DEGREE_POLICYADAPTIVE
  • F. Increasing DB_CACHESIZE to 1 G

Answer: A,F

Explanation:
Big Table caching is a feature that allows frequently accessed large tables to be cached in memory to improve I/O performance. From the parameter settings provided, Big Table caching is not occurring because DB_BIG_TABLE_CACHE_PERCENT_TARGETis set to 10, which is the minimum threshold for enabling the feature, but the size of the cache is too small for the big tables to be effectively cached.
To enable Big Table caching, one of the following actions could be taken:
* C (Correct):IncreasingDB_BIG_TABLE_CACHE_PERCENT_TARGETto at least 25. This action would allocate a larger percentage of the buffer cache for storing big tables, which could allow for caching large tables and thus improve I/O performance.
* D (Correct):IncreasingDB_CACHE_SIZEto 1G. Since the size of the buffer cache is a determining factor for how much data can be cached, increasing this parameter would provide more memory space for big tables to be cached.
Options A, B, E, and F will not enable Big Table caching because:
* A:IncreasingDB_BIG_TABLE_CACHE_PERCENT_TARGETto 50 without adjusting the overall size of the cache might still not be sufficient if theDB_CACHE_SIZEis not large enough to hold the big tables.
* B:SettingDB_KEEP_CACHE_SIZEto at least 50M only specifies a separate buffer pool for objects with the KEEP cache attribute and does not affect Big Table caching.
* E:andF:Changing thePARALLEL_DEGREE_POLICYtoADAPTIVEorAUTOinfluences the behavior of parallel execution but does not directly enable or influence Big Table caching.
References:
* Oracle Database Performance Tuning Guide:Big Table Caching
* Oracle Database Reference:DB_BIG_TABLE_CACHE_PERCENT_TARGET
* Oracle Database Reference:DB_CACHE_SIZE


NEW QUESTION # 31
You must write a statement that returns the ten most recent sales. Examine this statement:

Users complain that the query executes too slowly. Examine the statement's current execution plan:

What must you do to reduce the execution time and why?

  • A. Collect a new set of statistics on PRODUCT, CUSTOMERS, and SALES because the current stats are inaccurate.
  • B. Create an index on SALES.CUST_ID to force an INDEX RANGE SCAN on this index followed by a NESTED LOOP join between CUSTOMERS and SALES.
  • C. Create an index on SALES.TIME_ID to force the return of rows in the order specified by the ORDER BY clause.
  • D. Enable Adaptive Plans so that Oracle can change the Join method as well as the Join order for this query.
  • E. Replace the FETCH FIRST clause with ROWNUM to enable the use of an index on SALES.

Answer: C

Explanation:
The execution plan shows a full table access for the SALES table. To reduce the execution time, creating an index on SALES.TIME_ID would be beneficial as it would allow the database to quickly sort and retrieve the most recent sales without the need to perform a full table scan, which is I/O intensive and slower. By indexing TIME_ID, which is used in the ORDER BY clause, the optimizer can take advantage of the index to efficiently sort and limit the result set to the ten most recent sales.
* B (Incorrect): Replacing FETCH FIRST with ROWNUM would not necessarily improve the performance unless there is an appropriate index that the optimizer can use to avoid sorting the entire result set.
* C (Incorrect): There is no indication that the current statistics are inaccurate; hence, collecting new statistics may not lead to performance improvement.
* D (Incorrect): While adaptive plans can provide performance benefits by allowing the optimizer to adapt the execution strategy, the main issue here is the lack of an index on the ORDER BY column.
* E (Incorrect): Creating an index on SALES.CUST_ID could improve join performance but would not address the performance issue caused by the lack of an index on the ORDER BY column.
References:
* Oracle Database SQL Tuning Guide: Managing Indexes
* Oracle Database SQL Tuning Guide: Using Indexes and Clusters


NEW QUESTION # 32
Examine these statements and output:

What parameter change activates the generation and use of SQL Plan Directives7

  • A. optimizer_features_enable=12.2.0.1
  • B. optimizer_capture_sql_plan_baselines_TRUE
  • C. optimizer_adaptive_statistics = TRUE
  • D. optimizer_adaptive_plans=TRUE
  • E. optimizer_dynamic_sampling=11

Answer: C

Explanation:
The optimizer_adaptive_statistics parameter, when set to TRUE, enables the optimizer to use adaptive statistics, such as SQL Plan Directives, to help improve plans by automatically adjusting them based on the actual execution statistics.
References:
* Oracle Database SQL Tuning Guide, 19c


NEW QUESTION # 33
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