Accurate 1Z0-084 Practice Engine gives you high-effective Exam Quiz - RealVCE
Accurate 1Z0-084 Practice Engine gives you high-effective Exam Quiz - RealVCE
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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 (Oracle Database 19c Performance and Tuning Management) Certification Exam is the perfect platform for those who want to enhance their skills and expertise in the database performance tuning arena. Oracle Database 19c Performance and Tuning Management certification exam is designed for database administrators, developers, and performance analysts that are looking to improve their knowledge in performance tuning and optimization. Oracle is a widely recognized brand that is trusted by thousands of organizations around the world, and gaining an Oracle certification is a surefire way to boost your credibility as a database expert.
Oracle 1Z0-084 Exam is designed to test the skills of database administrators in managing and optimizing the performance of Oracle Database 19c. Oracle Database 19c Performance and Tuning Management certification validates the knowledge and expertise of professionals in the field of database performance and tuning management. 1Z0-084 exam also serves as a prerequisite for the Oracle Certified Expert, Oracle Database 19c: Performance Tuning certification.
Oracle Database 19c Performance and Tuning Management Sample Questions (Q21-Q26):
NEW QUESTION # 21
This error occurred more than four hours ago in the database:
ORA-04036 PGA memory used by theinstance exceedsPGA_AGGREGATE_LIMIT
You want to know which process and query were at fault.
Which two views should you use for this purpose?
- A. DBA_HIST_ACTIVE_SESS_HISTORY
- B. DBA_HIST_PGASTAT
- C. DBA_HIST_SQLSTAT
- D. DBA_HIST_SQLTEXT
- E. DBA_HIST_PROCESS_MEM_SUMMARY
Answer: A,E
Explanation:
To investigate the cause of the ORA-04036 error, which indicates that PGA memory usage exceeds the PGA_AGGREGATE_LIMIT, the appropriate views to consult are DBA_HIST_ACTIVE_SESS_HISTORYandDBA_HIST_PROCESS_MEM_SUMMARY.
* DBA_HIST_ACTIVE_SESS_HISTORY:This view provides historical information about active sessions in the database. It includes details about the SQL executed, the execution context, and the resources consumed by each session. By examining this view, you can identify the specific sessions and SQL queries that were active and potentially consuming excessive PGA memory around the time the ORA-04036 error occurred.
* DBA_HIST_PROCESS_MEM_SUMMARY:This view contains historical summaries of memory usage by processes. It can help in identifying the processes that were consuming a significant amount of PGA memory, leading to the ORA-04036 error. This view provides aggregated memory usage information over time,making it easier to pinpoint the processes responsible for high PGA memory consumption.
Together, these views offer a comprehensive overview of the memory usage patterns and specific queries or processes that might have contributed to exceeding thePGA_AGGREGATE_LIMIT, resulting in the ORA-04036 error.
References:
* Oracle Database Reference:DBA_HIST_ACTIVE_SESS_HISTORY
* Oracle Database Reference:DBA_HIST_PROCESS_MEM_SUMMARY
* Oracle Database Performance Tuning Guide:Managing Memory
NEW QUESTION # 22
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. SQL trace file automatically generated by the error
- B. ASH report
- C. Alert log
- D. Session trace file SQL trace file automatically generated by the error
Answer: C
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 # 23
Examine these statements and output:
What parameter change activates the generation and use of SQL Plan Directives7
- A. optimizer_capture_sql_plan_baselines_TRUE
- B. optimizer_adaptive_plans=TRUE
- C. optimizer_adaptive_statistics = TRUE
- D. optimizer_dynamic_sampling=11
- E. optimizer_features_enable=12.2.0.1
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 # 24
Examine this statement and its corresponding execution plan:
Which phase introduces the CONCATENATION step?
- A. SQL Semantic Check
- B. SQL Transformation
- C. SQL Adaptive Execution
- D. SQL Execution
- E. SQL Row Source Generation
Answer: B
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 # 25
Examine this AWR report excerpt:
You must reduce the impact of database I/O, without increasing buffer cache size and without modifying the SQL statements.
Which compression option satisfies this requirement?
- A. MN STORE COMPRESS FOR QUERY LOW
- B. STORE COMPRESS
- C. ROW STORE COMPRESS ADVANCED
- D. COLUMN STORE COMPRESS FOR QUERY HIGH
Answer: D
Explanation:
The question asks to reduce database I/O impact without increasing the buffer cache size or modifying SQL statements. This indicates a need to reduce the physical I/O required to access the data. Let's analyze the scenario and the options.
Analysis of the AWR Report:
* Top Wait Events:
* The top foreground wait event is db file sequential read, which accounts for 40.4% of DB time.
This indicates significant physical I/O operations, primarily single-block reads, which are typically associated with index access.
* Reducing the physical I/O associated with db file sequential read can significantly improve performance.
* SQL Ordered by Reads:
* The SQL consuming the most reads involves high physical I/O. This confirms the need to reduce I
/O overhead by compressing data efficiently to minimize physical reads.
Compression Techniques and Their Suitability:
* A. COLUMN STORE COMPRESS FOR QUERY LOW:
* This option is a columnar compression method that optimizes for query performance but provides less compression compared to the HIGH option. While effective, it is not as suitable as FOR QUERY HIGH for reducing I/O.
* B. STORE COMPRESS:
* This is the basic compression option for tables and does not offer the advanced capabilities required for reducing significant physical I/O for queries.
* C. ROW STORE COMPRESS ADVANCED:
* This is a row-level compression that is suitable for OLTP workloads. While it reduces storage, it does not reduce query-related I/O as effectively as columnar compression.
* D. COLUMN STORE COMPRESS FOR QUERY HIGH (Correct Option):
* This is the most effective option for reducing query-related I/O. It:
* Uses columnar compression to reduce the size of data stored on disk.
* Reduces the number of physical reads by compressing data highly, meaning fewer blocks need to be read.
* Optimizes query performance for analytical workloads, which aligns with the scenario described in the AWR report.
Why COLUMN STORE COMPRESS FOR QUERY HIGH Is the Best Fit:
* It is designed to improve query performance by minimizing the amount of I/O required.
* Suitable for environments with heavy read operations (as indicated by the db file sequential read waits).
* Does not require changes to SQL or buffer cache size, adhering to the constraints in the question.
Reference to Oracle Documentation:
* Oracle Database 19c Performance Tuning Guide:
* Section: Using Compression to Reduce Storage and I/O Requirements.
* Discussion of columnar compression techniques for reducing I/O in query-intensive environments.
* Oracle Advanced Compression Documentation:
* Details on COLUMN STORE COMPRESS FOR QUERY HIGH and its benefits for analytical workloads.
NEW QUESTION # 26
......
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