PRACTICE ORACLE 1Z0-084 ENGINE, LATEST TEST 1Z0-084 DISCOUNT

Practice Oracle 1Z0-084 Engine, Latest Test 1Z0-084 Discount

Practice Oracle 1Z0-084 Engine, Latest Test 1Z0-084 Discount

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The Oracle 1Z0-084 certification exam offers a great opportunity for Oracle professionals to demonstrate their expertise and knowledge level. In return, they can become competitive and updated with the latest technologies and trends. To do this they just need to enroll in Oracle Database 19c Performance and Tuning Management (1Z0-084) certification exam and have to put all efforts and resources to pass this challenging 1Z0-084 exam. You should also keep in mind that to get success in the Oracle 1Z0-084 exam is not an easy task.

Oracle 1Z0-084 is a professional-level certification exam offered by Oracle Corporation. 1Z0-084 exam is designed to assess the candidate's knowledge and skills in performance tuning and management of Oracle Database 19c. It is intended for professionals who have experience in database administration and want to enhance their skills in performance tuning and management.

To prepare for the Oracle 1Z0-084 exam, candidates should have a good understanding of Oracle Database architecture, administration, and performance tuning. They should also have experience with Oracle Database 19c and be familiar with tools and techniques for monitoring and analyzing performance. With the right preparation, candidates can gain the skills and knowledge needed to pass the Oracle 1Z0-084 Exam and earn the Oracle Database 19c Performance and Tuning Management certification.

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Oracle - 1Z0-084 - Updated Practice Oracle Database 19c Performance and Tuning Management Engine

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Oracle Database Performance Tuning Tools, covers a range of Oracle database performance and tuning tools such as SQL*Plus, SQL Developer, Enterprise Manager, and many others. Finally, the fourth section, Performance Tuning and Troubleshooting, deals with database performance issues and their resolution, including SQL tuning, Instance tuning, and tuning the Oracle Network.

Oracle Database 19c Performance and Tuning Management Sample Questions (Q46-Q51):

NEW QUESTION # 46
You need to collect and aggregate statistics for the ACCTG service and PAYROLL module, and execute:

Where do you find the output of this command?

  • A. By viewing V$SERV_MOD_ACT_STATS
  • B. By viewing V$SERVICE_STATS
  • C. In $ORACLE_BASE/diag/rdbms/<db unique name>/<instance name>/trace
  • D. In the current working directory

Answer: A

Explanation:
When you enable statistics gathering for a specific service and module using DBMS_MONITOR.SERV_MOD_ACT_STAT_ENABLE, the output is aggregated and can be viewed using theV$SERV_MOD_ACT_STATSdynamic performance view. This view contains the cumulative statistics of database activity broken down by service and module, which is exactly what you collect when executing the provided command.
* B (Incorrect):While many types of trace files are located in the Diagnostic Destination directory (
$ORACLE_BASE/diag), the aggregated statistics for services and modules are not written to trace files but are instead viewable through dynamic performance views.
* C (Incorrect):TheV$SERVICE_STATSview provides service-level statistics but does not provide the
* combined service/module-level breakdown.
* D (Incorrect):The output of the PL/SQL block is not written to a file in the current working directory; it is stored in the data dictionary and accessible via dynamic performance views.
References:
* Oracle Database PL/SQL Packages and Types Reference:DBMS_MONITOR
* Oracle Database Reference:V$SERV_MOD_ACT_STATS


NEW QUESTION # 47
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. Setting PARALLEL_DEGREE_POLICYAUTO
  • B. Increasing DB_BIG_TABLE_CACHE_PERCENT_TARGET to at least 25
  • C. Increasing DB_CACHESIZE to 1 G
  • D. Setting PARALLEL_DEGREE_POLICYADAPTIVE
  • E. Increasing DB_BIG_TABLE_CACHE_PERCENT_TARGET to at least 50
  • F. Setting DB_KEEP_CACHE_SIZE to at least 50M

Answer: B,C

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_TARGET is 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): Increasing DB_BIG_TABLE_CACHE_PERCENT_TARGET to 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): Increasing DB_CACHE_SIZE to 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: Increasing DB_BIG_TABLE_CACHE_PERCENT_TARGET to 50 without adjusting the overall size of the cache might still not be sufficient if the DB_CACHE_SIZE is not large enough to hold the big tables.
* B: Setting DB_KEEP_CACHE_SIZE to at least 50M only specifies a separate buffer pool for objects with the KEEP cache attribute and does not affect Big Table caching.
* E: and F: Changing the PARALLEL_DEGREE_POLICY to ADAPTIVE or AUTO influences 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 # 48
Examine these commands, which execute successfully:

Which statement is true?

  • A. AD DM is enabled for all pluggable databases.
  • B. AWR snapshots can be purged manually in pluggable databases.
  • C. ADDM, AWR, and ASH reports can be purged automatically.
  • D. AWR- snapshots in all pluggable databases will be purgedautomatically after every 60 mins.

Answer: B

Explanation:
TheDBMS_WORKLOAD_REPOSITORY.MODIFY_SNAPSHOT_SETTINGSprocedure allows setting attributes related to AWR snapshots. While the interval setting controls the frequency of snapshot generation, purging them is a separate process that can be managed either automatically (with retention settings) or manually.References:
* Oracle Database PL/SQL Packages and Types Reference, 19c
* Oracle Multitenant Administrator's Guide, 19c


NEW QUESTION # 49
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. 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.
  • B. Collect a new set of statistics on PRODUCT, CUSTOMERS, and SALES because the current stats are inaccurate.
  • C. Enable Adaptive Plans so that Oracle can change the Join method as well as the Join order for this query.
  • D. Replace the FETCH FIRST clause with ROWNUM to enable the use of an index on SALES.
  • E. Create an index on SALES.TIME_ID to force the return of rows in the order specified by the ORDER BY clause.

Answer: E

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 # 50
Examine this command:

What is the maximum number of baselines generated by this command that you can have at any given time?

  • A. 0
  • B. 1
  • C. 2
  • D. 3

Answer: D

Explanation:
TheDBMS_WORKLOAD_REPOSITORY.CREATE_BASELINE_TEMPLATEprocedure is used to create a repeating baseline template in the Automatic Workload Repository (AWR). This template will generate baselines for a specified duration of time on a repeating schedule. Theparameters of the CREATE_BASELINE_TEMPLATEprocedure include the start and end times, as well as the day of the week and hour in the day when the baseline should be captured.
Given that the command specifies a repeating baseline every Monday at 5 PM with a duration of 3 hours and it expires after 30 days, the number of baselines generated by this command that you can have at any given time depends on how many Mondays fall within the most recent 30-day period.
Since the maximum number of Mondays that can occur within any 30-day period is 5 (four to five weeks), but considering the baseline has a duration of 3 hours and starts every Monday at 5 PM, only one baseline for each Monday can exist at a time. However, since baselines are preserved for 30 days, you could have multiple instances of Monday baselines preserved at a time.
* A (Incorrect):There can be more than one baseline at a time because the template will generate a baseline for every Monday during the 30-day expiration period.
* B (Incorrect):There will be more than three baselines because the template creates a baseline for every Monday within the 30-day expiration period.
* C (Correct):Over a 30-day period, considering the duration of the baselines and their frequency, you could have up to a maximum of 52 baselines if you consider the entire year.
* D (Incorrect):There is no option that restricts the number of baselines to 5 specifically, the answer relies on the calculation of how many baselines can exist over a period of time considering their expiration.
References:
* Oracle Database PL/SQL Packages and Types Reference:DBMS_WORKLOAD_REPOSITORY


NEW QUESTION # 51
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