PASS GUARANTEED QUIZ 2025 ORACLE LATEST 1Z1-084: ORACLE DATABASE 19C PERFORMANCE AND TUNING MANAGEMENT LATEST EXAM EXPERIENCE

Pass Guaranteed Quiz 2025 Oracle Latest 1z1-084: Oracle Database 19c Performance and Tuning Management Latest Exam Experience

Pass Guaranteed Quiz 2025 Oracle Latest 1z1-084: Oracle Database 19c Performance and Tuning Management Latest Exam Experience

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Oracle 1Z0-084 exam is designed to evaluate the skills and knowledge of database administrators and developers in performance and tuning management using Oracle Database 19c. 1z1-084 Exam is ideal for professionals who are looking to enhance their skills in performance tuning and management of Oracle databases. Passing the 1Z0-084 exam demonstrates an individual's proficiency in managing and optimizing database performance, which is a crucial aspect of maintaining efficient and effective database systems.

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To prepare for the Oracle 1Z0-084 exam, candidates should have a solid understanding of the Oracle Database architecture and its components. They should also be familiar with the SQL language and have experience in using performance tuning tools such as SQL Tuning Advisor, Automatic Workload Repository (AWR), and Automatic Database Diagnostic Monitor (ADDM). Additionally, candidates should have practical experience in diagnosing and resolving common performance issues.

Oracle Database 19c Performance and Tuning Management Sample Questions (Q20-Q25):

NEW QUESTION # 20
You need to transport performance data from a Standard Edition to an Enterprise Edition database. What is the recommended method to do this?

  • A. Export the data by using the exp utility and parameter file spuexp.par from the Statspack repository and import it by using imp into a dedicated Statspack schema on the destination.
  • B. Export the data by using the expdp utility and parameter file spuexp.par from the Statspack repository and import it by using impdp into Export the data by using expdp from the Statspack repository and import it by using impdp into the AWR repository.
  • C. Export the data by using expdp from the ftatspack repository and import it by using impdp into the AWR repository.
  • D. Export the data by using expdp from Statspack and import it by using
    $ORACLE_HOME/rdbms/admin/awrload into the AWRrepository.

Answer: A

Explanation:
To transport performance data from an Oracle Database Standard Edition, which uses Statspack, to an Enterprise Edition database, which uses AWR, you must consider the compatibility of data structures and repository schemas between these tools. The recommended method is:
* D (Correct):Export the data using theexputility with a parameter file appropriate for Statspack (like spuexp.par) from the Statspack repository and import it into a dedicated Statspack schema on the destination. Since Statspack and AWR use different schemas, it's not recommended to import Statspack data directly into the AWR repository.
The other options are incorrect because:
* A (Incorrect):expdpis not designed to export from Statspack, andawrloadis intended for loading from an AWR export file, not a Statspack export.
* B (Incorrect):Althoughexpdpandimpdpare used for exporting and importing data, the AWR repository schema is different from the Statspack schema, so importing Statspack data directly into the AWR repository is not recommended.
* C (Incorrect):Usingexpdpto export from Statspack and then importing directly into the AWR repository is not the correct approach due to the schema differences between Statspack and AWR.
References:
* Oracle Database Performance Tuning Guide:Migrating from Statspack to AWR


NEW QUESTION # 21
Which statement is true about DB time in V$$YS_TIME_MODEL?

  • A. DB time can be many times greater than the elapsed time since the database instance started.
  • B. DB tine excludes the time spent waiting for a CPU in the operating system run queue.
  • C. DB time includes the time spent executing the RMAN backup and restore command.
  • D. DB time is organized as a simple list of statistics and any time period is attributable to only one statistic.

Answer: A

Explanation:
DB time includes the time spent on user and background processes. It can be greater than the elapsed time because it accumulates the active time of all the processes. For example, if two sessions are each active for 2 seconds at the same time, DB time would accumulate 4 seconds, while the elapsed time would be only 2 seconds.References:
* Oracle Database Performance Tuning Guide, 19c
* Oracle Database Reference, 19c


NEW QUESTION # 22
Accessing the SALES tables causes excessive db file sequential read wait events.
Examine this AWR except:

Now, examine these attributes displayed by querying dba_tables:

Finally, examine these parameter settings:

Which two must both be used to reduce these excessive waits?

  • A. Coalesce all sales table indexes.
  • B. Partition the SALES table.
  • C. Re-create the SALES table.
  • D. Increase PCTFREE for the SALES table.
  • E. Compress the SALES table.

Answer: B,E

Explanation:
The AWR excerpt points to excessive physical reads on the SALES table and index, suggesting the need for optimizing table storage and access.
Partitioning the SALES table (A) can reduce 'db file sequential read' waits by breaking down the large SALES table into smaller, more manageable pieces. This can localize the data and reduce the I/O necessary for query operations.
Compressing the SALES table (D) can also help reduce I/O by minimizing the amount of data that needs to be read from disk. This can also improve cache utilization and reduce the 'db file sequential read' waits.
References:
* Oracle Database VLDB and Partitioning Guide, 19c
* Oracle Database Administrator's Guide, 19c
These changes are recommended based on Oracle's best practices for managing large tables and reducing I/O waits, ensuring better performance and efficiency.


NEW QUESTION # 23
You manage a 19c database with default optimizer settings.
This statement is used extensively as subquery in the application queries:
SELECT city_id FROM sh2.sales WHERE city_id=:Bl
You notice the performance of these queries is often poor and, therefore, execute:
SELECT city_id,COUNT(*) FROM sh2.sales GROUP BY city_id;
Examine the results:

There is no index on the CITY_ID column.
Which two options improve the performance?

  • A. Force the subquery to use dynamic sampling.
  • B. Activate the adaptive plans.
  • C. Generate frequency histograms on the CITY__ID column.
  • D. Create an index on the CITY IP column.
  • E. Use a SQL Profile to enforce the appropriate plan.

Answer: C,D

Explanation:
In this scenario, creating an index and generating frequency histograms are two methods that can potentially improve performance:
* A (Correct): Generating frequency histograms on the CITY_ID column can help the optimizer make better decisions regarding the execution plan, especially if the data distribution is skewed. Histograms provide the optimizer with more detailed information about the data distribution in a column, which is particularly useful for columns with non-uniform distributions.
* B (Correct): Creating an index on the CITY_ID column would speed up queries that filter on this column, especially if it's used frequently in the WHERE clause as a filter. An index would allow for an index range scan instead of a full table scan, reducing the I/O and time needed to execute such queries.
* C (Incorrect): While SQL profiles can be used to improve the performance of specific SQL statements, they are usually not the first choice for such a problem, and creating a profile does not replace the need for proper indexing or statistics.
* D (Incorrect): Forcing the subquery to use dynamic sampling might not provide a consistent performance benefit, especially if the table statistics are not representative or are outdated. However, dynamic sampling is not as effective as having accurate statistics and a well-chosen index.
* E (Incorrect): Adaptive plans can adjust the execution strategy based on the conditions at runtime.
While they can be useful in certain scenarios, in this case, creating an index and ensuring accurate statistics would likely provide a more significant performance improvement.
References:
* Oracle Database SQL Tuning Guide: Managing Optimizer Statistics
* Oracle Database SQL Tuning Guide: Using Indexes and Clusters


NEW QUESTION # 24
Which two statements are true about the use and monitoring of Buffer Cache Hit ratios and their value in tuning Database I/O performance?

  • A. The performance of workloads that primarily generate full table scans and fast full index scans are always affected by the cache hit ratio.
  • B. A 99% cache hit ratio can be observed for database instances which have very poor I/O performance.
  • C. A 60% cache hit ratio can be observed for database instances which have very good I/O performance.
  • D. The buffer cache advisory view v$db_cache_advice provides advice on cache hit ratios appropriate for the instance workload.
  • E. Both the RECYCLE and KEEP buffer caches should always have a very high cache hit ratio.

Answer: B,D


NEW QUESTION # 25
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