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Oracle 1Z0-084 is an exam designed for professionals who want to enhance their knowledge and expertise in performance and tuning management of Oracle Database 19c. Oracle Database 19c Performance and Tuning Management certification exam is designed to validate the knowledge and skills of database administrators, performance analysts, and developers who are responsible for managing and tuning Oracle databases. 1z1-084 exam tests the candidate's ability to use various performance tuning tools and techniques to optimize database performance and ensure smooth operation.
Oracle 1Z0-084 (Oracle Database 19c Performance and Tuning Management) Certification Exam is designed for professionals who are seeking to validate their skills and knowledge in the area of database performance and tuning management. 1z1-084 Exam covers a broad range of topics, including database performance tuning, SQL tuning, memory management, and database backup and recovery.
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Oracle 1Z0-084 exam evaluates a candidate’s knowledge of Oracle Database architecture, database memory management, performance analysis, database monitoring and optimization, and performance tuning techniques. Candidates must also be well-versed in diagnosing and resolving performance issues that affect database performance and stability. By passing the Oracle 1Z0-084 exam, candidates can become a recognized expert in the Oracle Database 19c performance and tuning management domain, which is essential for managing large databases with hundreds of users.
Oracle Database 19c Performance and Tuning Management Sample Questions (Q27-Q32):
NEW QUESTION # 27
Which two statements are true about Data Pump import for objects that used the in Memory (IM) column store in their source database?
- A. It always gives preference to the IM column store clause defined at the tablespace level over table-level definitions.
- B. Its TRANSFORM clause can be used to add the INMEMORV clause to exported tables that lack them.
- C. Its INMEM0RY_CLAUSE of the Data Pump Export allows modifications to IM column store clause of a table with existing INMEMORY setting.
- D. It can generates the INMEMORY clause that matches the table settings at export time.
- E. It ignores the IM column store clause of the exporting objects.
- F. It must always transports existing INMEMORY attributes.
Answer: B,D
Explanation:
When importing objects that used the In-Memory (IM) column store in their source database using Oracle Data Pump, the following statements are true:
* D (Correct):TheTRANSFORMclause can be used to alter object creation DDL during import operations. This can include adding theINMEMORYclause to tables that were not originally using the IM column store.
* F (Correct):The import operation can preserve theINMEMORYattributes of tables as they were at the time of export, effectively replicating the IM column store settings from the source database.
The other statements are not accurate in the context of Data Pump import:
* A (Incorrect):Data Pump does not give preference to the IM column store clauses at the tablespace level over table-level definitions unless explicitly specified by theTRANSFORMclause.
* B (Incorrect):While Data Pump can transport existingINMEMORYattributes, it is not mandatory. It is controlled by theINCLUDEorEXCLUDEData Pump parameters or theTRANSFORMclause.
* C (Incorrect):TheINMEMORY_CLAUSEparameter is not part of the Data Pump Export utility. To modify the IM column store clauses, you would use theTRANSFORMparameter during import, not export.
* E (Incorrect):Data Pump does not ignore the IM column store clause unless specifically instructed to do so via theEXCLUDEparameter.
References:
* Oracle Database Utilities:Data Pump Export
* Oracle Database Utilities:Data Pump Import
NEW QUESTION # 28
You must produce a consolidated formatted trace file by combining all trace files generated by all clients for a single service.
Which combination of utilities does this?
- A. Autotrace and TKPROF
- B. TKPROF and Trace Analyzer
- C. Trace Analyzer and Tracsess
- D. Trcsess and TKPROF
Answer: D
Explanation:
To produce a consolidated formatted trace file from multiple trace files generated by all clients for a single service, the combination oftrcsessandTKPROFutilities is used. Thetrcsessutility consolidates trace files based on specified criteria such as session, client identifier, or service name. This results in a single trace file that combines the desired tracing information. Next,TKPROFis used to format the output of the trace file generated bytrcsess, providing a readable summary of the trace, including execution counts, execution times, and SQL statement text along with execution plans.
Steps:
* Usetrcsessto combine trace files:
* Command:trcsess output=consolidated.trc service=your_service_name *.trc
* UseTKPROFto format the consolidated trace file:
* Command:tkprof consolidated.trc output.txt explain=user/password sys=no sort=prsela,fchela References:
* Oracle Database Performance Tuning Guide, 19c
* Oracle Database Utilities, 19c
NEW QUESTION # 29
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. Use a SQL Profile to enforce the appropriate plan.
- B. Generate frequency histograms on the CITY__ID column.
- C. Force the subquery to use dynamic sampling.
- D. Activate the adaptive plans.
- E. Create an index on the CITY IP column.
Answer: B,E
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 # 30
Which procedure gathers statistics that are always used in the generation of any execution plan?
- A. DBMS_STATS.GATHER_DATABASE_STATS
- B. DBMS_STATS.GATHER_SYSTEM_STATS
- C. DBMS_STATS.GATHER_DICTIONARY_STATS
- D. DBMS_STATS.GATHER_FIXED_ OBJECTS_STATS
Answer: A
Explanation:
TheDBMS_STATS.GATHER_DATABASE_STATSprocedure is used to gather statistics for all schema objects in the database that do not have up-to-date statistics. These statistics are essential for the optimizer to make informed decisions about the most efficient way to execute a query. The procedure collects statistics such as table and column statistics, index statistics, and system statistics, which are all used in the execution plan generation.
References:
* Oracle Database PL/SQL Packages and Types Reference, 19c
* Oracle Database Performance Tuning Guide, 19c
NEW QUESTION # 31
Which two options are part of a Soft Parse operation?
- A. SQL Row Source Generation
- B. Syntax Check
- C. Semantic Check
- D. Shared Pool Memory Allocation
- E. SQL Optimization
Answer: C
NEW QUESTION # 32
......
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