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Pass Guaranteed 1z1-084 - Oracle Database 19c Performance and Tuning Management Useful Valid Exam Prep

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Oracle 1Z0-084 certification exam is designed to test an individual's knowledge and skills in managing the performance and tuning of Oracle Database 19c. Oracle Database 19c Performance and Tuning Management certification is intended for database administrators who want to become proficient in managing the performance of Oracle databases and tuning them to meet the demands of their organization. 1z1-084 Exam covers a wide range of topics, including performance analysis and tuning, memory management, SQL tuning, and performance monitoring.

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Oracle Database 19c Performance and Tuning Management Sample Questions (Q49-Q54):

NEW QUESTION # 49
A database supporting a mixed workload is hosted on a server with 64 CPUs.
A large number of free buffer waits and buffer busy waits occur affecting performance.
The buffer cache size was then increased but after a few hours, the same wait events occur more often than before the change.
Examine these parameter settings:

Which two actions can help reduce the number of these waits7

• A. increasing the value of DB_FILE_MULTIBLOCK_READ_COUNT to 128
• B. Increasing the size of MEMORYTARGET
• C. setting dbwr_io_slaves to 64
• D. reducing the values of DB_FILE_MULTILOCK_READ_COUNT to 64
• E. increasing the value of DBWRITERPROCESSES to 64,

Answer: C,E

Explanation:
Given a server with 64 CPUs, if the buffer cache size increase did not alleviate free buffer waits and buffer busy waits, one can look into optimizing I/O and the efficiency of the DB writer processes.
C: Setting theDBWR_IO_SLAVESparameter to a non-zero value, such as the number of CPUs, would initiate I/O slave processes to assist the DB writer process. This can help reduce I/O contention when writing from the buffer cache to disk, particularly for systems without asynchronous I/O capabilities.
D: Increasing the value ofDBWRITERPROCESSESenables multiple DB writer processes to be active simultaneously. In a system with many CPUs, such as 64, increasing this value can improve the write throughput to disk and potentially reduce buffer busy waits.
References:
* Oracle Database Reference, 19c
* Oracle Database Performance Tuning Guide, 19c

NEW QUESTION # 50
Which three statements are true about using the in Memory (IM) column store?

• A. It can improve OLTP workload performance by avoiding the use of indexes.
• B. It improves performance for queries joining several tables using bloom filter joins.
• C. It does not improve performance for queries using cached results of function evaluations on columns from the same table.
• D. It does not improve performance for queries using user-defined virtual column results.
• E. It does not improve performance for queries that use join groups on columns from different tables.
• F. It does not require all database data to fit in memory to improve query performance.

Answer: A,B,F

Explanation:
The Oracle In-Memory (IM) column store feature enhances the performance of databases by providing a fast columnar storage format for analytical workloads while also potentially benefiting OLTP workloads.
* C (True): It can improve OLTP workload performance by providing a faster access path for full table scans and reducing the need for indexes in certain scenarios, as the In-Memory store allows for efficient in-memory scans.
* E (True): The In-Memory column store does not require all database data to fit in memory. It can be used selectively for performance-critical tables or partitions, and Oracle Database will manage the population and eviction of data as needed.
* F (True): In-Memory column store can significantly improve performance for queries joining several tables, especially when bloom filters are used, as they are highly efficient with the columnar format for large scans and join processing.
The other options provided are not correct in the context of the In-Memory column store:
* A (False): While In-Memory column store is designed for analytical queries rather than caching results of function evaluations, it does not specifically avoid improving performance for queries using cached results of function evaluations.
* B (False): In-Memory column store can improve the performance of queries that use join groups, which can be used to optimize joins on columns from different tables.
* D (False): In-Memory column store can improve the performance of queries using expressions, including user-defined virtual columns, because it supports expression statistics which help in optimizing such queries.
References:
* Oracle Database In-Memory Guide: In-Memory Column Store in Oracle Database
* Oracle Database In-Memory Guide: In-Memory Joins
* Oracle Database In-Memory Guide: In-Memory Aggregation

NEW QUESTION # 51
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 expdp from the ftatspack repository and import it by using impdp into the AWR repository.
• B. 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.
• C. 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.
• D. Export the data by using expdp from Statspack and import it by using $ORACLE_HOME/rdbms/admin
  /awrload into the AWR repository.

Answer: B

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 the exp utility 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): expdp is not designed to export from Statspack, and awrload is intended for loading from an AWR export file, not a Statspack export.
* B (Incorrect): Although expdp and impdp are 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): Using expdp to 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 # 52
Users complain about slowness and session interruptions. Additional checks reveal the following error in the application log:

Which file has additional information about this error?

• A. ASH report
• B. Alert log
• C. Session trace file SQL trace file automatically generated by the error
• D. SQL trace file automatically generated by the error

Answer: B

Explanation:
When an ORA-00060 deadlock error occurs, detailed information about the error and the deadlock graph are dumped into the alert log. This log contains a trace file name that you can use to find additional detailed information about the sessions involved in the deadlock and the SQL statements they were executing.
References:
* Oracle Database Administrator's Guide, 19c
* Oracle Database Error Messages, 19c

NEW QUESTION # 53
Which three types of statistics are captured by statspack with snap level 6?

• A. Parent and child latches
• B. Optimizer execution plans
• C. Segment-level statistics
• D. Parent and child latches
• E. Enqueue statistics
• F. Plan usage data

Answer: A,C,E

Explanation:
Statspack is a performance diagnostic tool provided by Oracle prior to the introduction of the Automatic Workload Repository (AWR). At snap level 6, Statspack captures the following types of statistics:
* A (Correct):Parent and child latches are captured. Latch statistics provide information about contention for latches, which are low-level serialization mechanisms used by Oracle.
* E (Correct):Enqueue statistics, which provide information on the waits for locks that manage the concurrency between users.
* F (Correct):Segment-level statistics, which provide detailed information on database segments such as tables, indexes, etc., to identify I/O and contention issues.
* C (Incorrect):While optimizer execution plans are an essential aspect of performance tuning, detailed execution plan capture is not part of the Statspack report at level 6.
* D (Incorrect):Plan usage data refers to how frequently a plan is being used, which is more associated with AWR and not typically captured in Statspack reports.
References:
* Oracle Database Performance Tuning Guide:Using Statspack

NEW QUESTION # 54
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