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Oracle 1Z0-084 (Oracle Database 19c Performance and Tuning Management) Certification Exam is an excellent platform for database administrators, developers, and performance analysts who want to strengthen their knowledge and expertise in the database performance tuning arena. Oracle Database 19c Performance and Tuning Management certification exam helps to validate the candidates’ skills and knowledge regarding database tuning and optimization methodologies used in the Oracle Database. Earning this certification opens various career opportunities, and it serves as an endorsement of the professional competency and credibility of the certified candidates.

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Oracle 1Z0-084 Certification Exam focuses on performance and tuning management for Oracle Database 19c. 1Z0-084 exam is designed for professionals who want to enhance their skills in improving database performance and reducing system downtime. The 1Z0-084 exam is intended for database administrators, system engineers, and technical consultants who have a good understanding of Oracle Database 19c concepts and technologies.

Oracle Database 19c Performance and Tuning Management exam aims to assess the candidates' knowledge of this important area of expertise. In particular, the exam focuses on the design and implementation of system infrastructure, the management of database performance and its optimization, the identification and resolution of performance issues in the database, and knowledge of performance monitoring and data management.

Oracle Database 19c Performance and Tuning Management Sample Questions (Q44-Q49):

NEW QUESTION # 44
An Oracle 19c database uses default values for all optimizer initialization parameters.
After a table undergoes partition maintenance, a large number of wait events occur for:
cursor: pin S wait on X
Which command reduces the number of these wait events?

A. ALTER SYSTEM SET CURSOR_INVALIDATION = DEFERRED;
B. ALTER SYSTEM SET SESSION CACHED CURSORS = 500;
C. ALTER SYSTEM SET CURSOR_SPACE_FOR_TIME - TRUE;
D. ALTER SYSTEM SET CURSOR_SHARING = FORCE;

Answer: A

Explanation:
The cursor: pin S wait on X wait event suggests contention for a cursor pin, which is associated with mutexes (a type of locking mechanism) that protect the library cache to prevent concurrent modifications.
This issue can often be alleviated by deferring the invalidation of cursors until the end of the call to reduce contention. The correct command to use would be:
* C (Correct): ALTER SYSTEM SET CURSOR_INVALIDATION=DEFERRED; This setting defers the invalidation of dependent cursors until the end of the PL/SQL call, which can reduce the cursor: pin S wait on X wait events.
The other options are incorrect in addressing this issue:
* A (Incorrect): Setting CURSOR_SHARING to FORCE makes the optimizer replace literal values with bind variables. It doesn't address the contention for cursor pins directly.
* B (Incorrect): CURSOR_SPACE_FOR_TIME=TRUE aims to reduce the parsing effort by keeping cursors for prepared statements open. It may increase memory usage but does not directly resolve cursor: pin S wait on X waits.
* D (Incorrect): Increasing SESSION_CACHED_CURSORS caches more session cursors but doesn't necessarily prevent the contention indicated by the cursor: pin S wait on X wait events.
References:
* Oracle Database Reference: CURSOR_INVALIDATION
* Oracle Database Performance Tuning Guide: Reducing Cursor Invalidation

NEW QUESTION # 45
You want to reduce the amount of db file scattered read that is generated in the database.You execute the SQL Tuning Advisor against the relevant workload. Which two can be part of the expected result?

A. recommendations regarding partitioning the tables
B. recommendations regarding the creation of materialized views
C. recommendations regarding rewriting the SQL statements
D. recommendations regarding the creation of additional indexes
E. recommendations regarding the creation of SQL Patches

Answer: B,D

Explanation:
The SQL Tuning Advisor provides recommendations for improving SQL query performance. This may include suggestions for creating additional indexes to speed up data retrieval and materialized views to precompute and store query results.References:
* Oracle Database SQL Tuning Guide, 19c

NEW QUESTION # 46
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 does not improve performance for queries that use join groups on columns from different tables.
C. It does not require all database data to fit in memory to improve query performance.
D. It does not improve performance for queries using user-defined virtual column results.
E. It improves performance for queries joining several tables using bloom filter joins.
F. It does not improve performance for queries using cached results of function evaluations on columns from the same table.

Answer: A,C,E

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 # 47
Examine this statement and its corresponding execution plan:

Which phase introduces the CONCATENATION step?

A. SQL Execution
B. SQL Semantic Check
C. SQL Transformation
D. SQL Adaptive Execution
E. SQL Row Source Generation

Answer: C

Explanation:
The CONCATENATION step in an execution plan is introduced during the SQL Transformation phase. This phase is part of the optimizer's query transformations which can include various techniques to rewrite the query for more efficient execution. The CONCATENATION operation is used to combine the results of two separate SQL operations, typically when there is an OR condition in the WHERE clause, as seen in the provided query.
References:
* Oracle Database SQL Tuning Guide, 19c
* Oracle Database Concepts, 19c

NEW QUESTION # 48
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 60% cache hit ratio can be observed for database instances which have very good I/O performance.
C. Both the RECYCLE and KEEP buffer caches should always have a very high cache hit ratio.
D. The buffer cache advisory view v$db_cache_advice provides advice on cache hit ratios appropriate for the instance workload.
E. A 99% cache hit ratio can be observed for database instances which have very poor I/O performance.

Answer: D,E

NEW QUESTION # 49
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