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Title: 2024 Easy Success Oracle 1z1-084 Exam in First Try [Q26-Q47]

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 2024 Easy Success Oracle 1z1-084 Exam in First Try
Best 1z1-084 Exam Dumps for the Preparation of Latest Exam Questions


NEW QUESTION 26This error occurred more than four hours ago in the database:ORA-04036 PGA memory used by theinstance exceedsPGA_AGGREGATE_LIMITYou want to know which process and query were at fault.Which two views should you use for this purpose?
 DBA_HIST_ACTIVE_SESS_HISTORY
 DBA_HIST_SQLSTAT
 DBA_HIST_SQLTEXT
 DBA_HIST_PGASTAT
 DBA_HIST_PROCESS_MEM_SUMMARY
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 MemoryNEW QUESTION 27You must write a statement that returns the ten most recent sales. Examine this statement:Users complain that the query executes too slowly. Examine the statement’s current execution plan:What must you do to reduce the execution time and why?
 Create an index on SALES.TIME_ID to force the return of rows in the order specified by the ORDER BY clause.
 Replace the FETCH FIRST clause with ROWNUM to enable the use of an index on SALES.
 Collect a new set of statistics on PRODUCT, CUSTOMERS, and SALES because the current stats are inaccurate.
 Enable Adaptive Plans so that Oracle can change the Join method as well as the Join order for this query.
 Create an index on SALES.CUST_ID to force an INDEX RANGE SCAN on this index followed by a NESTED LOOP join between CUSTOMERS and SALES.
The execution plan shows a full table access for theSALEStable. To reduce the execution time, creating an index onSALES.TIME_IDwould be beneficial as it would allow the database to quickly sort and retrieve the most recent sales without the need to perform a full table scan, which is I/O intensive and slower. By indexing TIME_ID, which is used in theORDER BYclause, the optimizer can take advantage of the index to efficiently sort and limit the result set to the ten most recent sales.* B (Incorrect):ReplacingFETCH FIRSTwithROWNUMwould not necessarily improve the performance unless there is an appropriate index that the optimizer can use to avoid sorting the entire result set.* C (Incorrect):There is no indication that the current statistics are inaccurate; hence, collecting new statistics may not lead to performance improvement.* D (Incorrect):While adaptive plans can provide performance benefits by allowing the optimizer to adapt the execution strategy, the main issue here is the lack of an index on theORDER BYcolumn.* E (Incorrect):Creating an index onSALES.CUST_IDcould improve join performance but would not address the performance issue caused by the lack of an index on theORDER BYcolumn.References:* Oracle Database SQL Tuning Guide:Managing Indexes* Oracle Database SQL Tuning Guide:Using Indexes and ClustersNEW QUESTION 28What is the right time to stop tuning an Oracle database?
 When the allocated budget for performance tuning has been exhausted
 When all the concurrency waits are eliminated from the Top 10
 When the buffer cache and library cache hit ratio is above 95%
 When the I/O is less than 10% of the DB time
The right time to stop tuning an Oracle database is often determined by the point of diminishing returns – when the cost of further tuning (in terms of time, resources, or money) exceeds the performance benefits gained.This is often related to the budget allocated for performance tuning.* A (Correct):When the allocated budget for performance tuning has been exhausted, it may be time to stop tuning unless the benefits of further tuning justify requesting additional budget.* B (Incorrect):Eliminating all concurrency waits from the Top 10 is an unrealistic goal since some waits are inevitable and can occur due to application design, which might not be possible to eliminate completely.* C (Incorrect):The buffer cache and library cache hit ratio being above 95% does not necessarily indicate that the database is fully optimized. Hit ratios are not reliable indicators of database performance and should not be used as sole criteria to end tuning efforts.* D (Incorrect):Having I/O less than 10% of DB time is not a definitive indicator to stop tuning. It is essential to consider the overall performance goals and whether they have been met rather than focusing solely on I/O metrics.References:* Oracle Database Performance Tuning Guide:Introduction to Performance Tuning* Oracle Database 2 Day + Performance Tuning Guide:Understanding the Tuning ProcessNEW QUESTION 2918. The application provider has given full indications regarding the procedure to collect statistics.To reduce the space used in the SYSAUX tablespace, you want to prevent the optimizer statistics Advisor from running.Which method will allow you to do this?
 Set the parameter OPTIMIZER_ADAPTIVE_STATISTICS to FALSE.
 Use DBMS_AUTO_TASK_ADMIN. DISABLE to disable the AUTO_STATS_ADVISOR_TASK task.
 Set the AUTO_STATS_ADVISOR_TASK global statistics preference to FALSE.
 Use DBMS STATS.DROP ADVISOR TASK to drop the AUTO_STATS_ADVISOR_TASK task.
The Oracle Optimizer statistics advisor, which is part of the automated tasks framework, can be disabled using the DBMS_AUTO_TASK_ADMIN package. This will prevent it fromrunning and thus reduce space usage in the SYSAUX tablespace.References:* Oracle Database PL/SQL Packages and Types Reference, 19cNEW QUESTION 30You use SQL Tuning Advisor to tune a given SQL statement.The analysis eventually results in the implementation of a SQL Profile.You then generate the new SQL Profile plan and enforce it using a SQL PlanBaselinebut forget to disable the SQLProfile and a few days later you find out that the SQL Profile is generating a new execution plan.Which two statements are true?
 The existence of two concurrent plan stability methods generates a child cursor for every execution.
 The SQL Profiles as well as SQL Plan Baseline are implemented using hints, so they both generate the same plan.
 The execution plan is the one enforced by the SQL Profile.
 The execution plan is the one enforced by the SQL Plan Baseline.
 The SQL Plan Baseline must be accepted in order to be used for the execution plan.
 The conflict between the two plan stability methods results in an error.
When both a SQL Profile and a SQL Plan Baseline are in place, the SQL Profile has a stronger preference and the optimizer is more likely to choose the execution plan from the SQL Profile.C: A SQL Profile is generally more influential than a SQL Plan Baseline because it contains additional statistics and directives that help the optimizer to generate a more efficient execution plan. If both exist, the optimizer will use the profile’s plan unless the baseline’s plan is proven to be better through the SQL performance monitoring process.E: SQL Plan Baselines must be accepted before they can be used by the optimizer. If a SQL Plan Baseline is not accepted, it will not be considered for generating the execution plan. Therefore, the presence of an unaccepted SQL Plan Baseline will not automatically force the optimizer to use its plan.References:* Oracle Database SQL Tuning Guide, 19c* Oracle Database Administrator’s Guide, 19cNEW QUESTION 31You must configure and enable Database Smart Flash Cache for a database.You configure these flash devices:Examine these parameter settings:What must be configured so that the database uses these devices for the Database Smart Flash Cache?
 Set DB_FLASH_CACHE_SIZE to 192G and MEMORY_TARGET to 256G.
 Set DB_FLASH_CACHE_SIZE parameter to 192G.
 Disable Automatic Memory Management and set SGA_TARGET to 256G.
 Set DB_FLASH_CACHE_SIZE to 256G and change device /dev/sdk to 128G.
 Set DB_FLASH_CACHE_SIZE parameter to 128G, 64G.
To configure and enable Database Smart Flash Cache, you must set the DB_FLASH_CACHE_SIZE parameter to reflect the combined size of the flash devices youintend to use for the cache. In this scenario, two flash devices are configured: /dev/sdj with 128G and /dev/sdk with 64G.* Determine the combined size of the flash devices intended for the Database Smart Flash Cache. In this case, it’s 128G + 64G = 192G.* However, Oracle documentation suggests setting DB_FLASH_CACHE_SIZE to the exact sizes of the individual devices, separated by a comma when multiple devices are used.* Modify the parameter in the database initialization file (init.ora or spfile.ora) or using an ALTER SYSTEM command. Here’s the command for altering the system setting:ALTER SYSTEM SET DB_FLASH_CACHE_SIZE=’128G,64G’ SCOPE=SPFILE;* Since this is a static parameter, a database restart is required for the changes to take effect.* Upon database startup, it will allocate the Database Smart Flash Cache using the provided sizes for the specified devices.It is important to note that MEMORY_TARGET and MEMORY_MAX_TARGET parameters should be configured independently of DB_FLASH_CACHE_SIZE. They control the Oracle memory management for the SGA and PGA, and do not directly correlate with the flash cache configuration.References* Oracle Database 19c Documentation on Database Smart Flash Cache* Oracle Support Articles and Community Discussions on DB_FLASH_CACHE_SIZE ConfigurationNEW QUESTION 32The CURS0R_SHARING and OPTIMIZER_CAPTURE_SQL_PLAN_BASELINES parameters are set to default. The top five wait events in an awr report are due to a large number of hard parses because of several almost identical SQL statements.Which two actions could reduce the number of hard parses?
 Create the KEEP cache and cache tables accessed by the SQL statements.
 Create the RECYCLE cache and cache tables accessed by the SQL statements.
 Increase the size of the library cache.
 Set OPTIMIZER_CAPTURE_SQL_PLAN_BASELINESto TRUE.
 Set the CURSOR_SHARING parameter to FORCE.
To reduce the number of hard parses due to several almost identical SQL statements, you can take the following actions:* C (Correct):Increasing the size of the library cache can help reduce hard parses by providing more* memory to store more execution plans. This allows SQL statements to be shared more effectively.* E (Correct):Setting theCURSOR_SHARINGparameter toFORCEwill cause Oracle to replace literals in SQL statements with bind variables, which can significantly reduce the number of hard parses by making it more likely that similar SQL statements will share the same execution plan.The other options do not directly impact the number of hard parses:* A (Incorrect):Creating the KEEP cache and caching tables accessed by the SQL statements can improve performance for those tables, but it does not directly reduce the number of hard parses.* B (Incorrect):Creating the RECYCLE cache and caching tables accessed by the SQL statements can make it more likely that objects will be removed from the cache quickly, which does not help with hard parse issues.* D (Incorrect):SettingOPTIMIZER_CAPTURE_SQL_PLAN_BASELINEStoTRUEcan help stabilize SQL execution plans but will not reduce the number of hard parses. This parameter is used to automatically capture SQL plan baselines for repeatable SQL statements, which can prevent performance regressions due to plan changes.References:* Oracle Database Performance Tuning Guide:Minimizing Hard Parses* Oracle Database SQL Tuning Guide:CURSOR_SHARINGNEW QUESTION 33Database performance has degraded recently.index range scan operations on index ix_sales_time_id are slower due to an increase in buffer gets on sales table blocks.Examine these attributes displayed by querying DBA_TABLES:Now, examine these attributes displayed by querying DBA_INDEXES:Which action will reduce the excessive buffer gets?
 Re-create the SALES table sorted in order of index IX_SALES_TIME_ID.
 Re-create index IX_SALES_TIME_ID using ADVANCED COMPRESSION.
 Re-create the SALES table using the columns in IX_SALES_TIME_ID as the hash partitioning key.
 Partition index IX_SALES_TIME_ID using hash partitioning.
Given that index range scan operations onIX_SALES_TIME_IDare slower due to an increase in buffer gets, the aim is to improve the efficiency of the index access. In this scenario:* B (Correct):Re-creating the index usingADVANCED COMPRESSIONcan reduce the size of the index, which can lead to fewer physical reads (reduced I/O) and buffer gets when the index is accessed, as more of the index can fit into memory.The other options would not be appropriate because:* A (Incorrect):Re-creating theSALEStable sorted in order of the index might not address the issue of excessive buffer gets. Sorting the table would not improve the efficiency of the index itself.* C (Incorrect):Using the columns inIX_SALES_TIME_IDas a hash partitioning key for theSALES table is more relevant to data distribution and does not necessarily improve index scan performance.* D (Incorrect):Hash partitioning the index is generally used to improve the scan performance in a parallel query environment, but it may not reduce the number of buffer gets in a single-threaded query environment.References:* Oracle Database SQL Tuning Guide:Managing Indexes* Oracle Database SQL Tuning Guide:Index CompressionNEW QUESTION 34Accessing 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?
 Partition the SALES table.
 Increase PCTFREE for the SALES table.
 Re-create the SALES table.
 Compress the SALES table.
 Coalesce all sales table indexes.
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, 19cThese 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 35You 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?
 recommendations regarding partitioning the tables
 recommendations regarding the creation of materialized views
 recommendations regarding the creation of additional indexes
 recommendations regarding rewriting the SQL statements
 recommendations regarding the creation of SQL Patches
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, 19cNEW QUESTION 36Users complain about slowness and session interruptions. Additional checks reveal the following error in the application log:Which file has additional information about this error?
 Alert log
 ASH report
 Session trace file SQL trace file automatically generated by the error
 SQL trace file automatically generated by the error
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, 19cNEW QUESTION 37You 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=:BlYou 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?
 Generate frequency histograms on the CITY__ID column.
 Create an index on the CITY IP column.
 Use a SQL Profile to enforce the appropriate plan.
 Force the subquery to use dynamic sampling.
 Activate the adaptive plans.
In this scenario, creating an index and generating frequency histograms are two methods that can potentially improve performance:* A (Correct):Generating frequency histograms on theCITY_IDcolumn 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 theCITY_IDcolumn 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 ClustersNEW QUESTION 38You need to transport performance data from a Standard Edition to an Enterprise Edition database. What is the recommended method to do this?
 Export the data by using expdp from Statspack and import it by using$ORACLE_HOME/rdbms/admin/awrload into the AWRrepository.
 Export the data by using expdp from the ftatspack repository and import it by using impdp into the AWR repository.
 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.
 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.
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 AWRNEW QUESTION 39Which three statements are true about server-generated alerts?
 They are notifications from the Oracle Database Server of an existing or impending problem.
 They provide notifications but never any suggestions for correcting the identified problems.
 They are logged in the alert log.
 They can be viewed only from the Cloud Control Database home page.
 Their threshold settings can be modified by using DBMS_SERVER_ALERT.
 They may contain suggestions for correcting the identified problems.
Server-generated alerts in Oracle Database are designed to notify DBAs and other administrators about issues within the database environment. These alerts can be triggered by a variety of conditions, including threshold-based metrics and specific events such as ORA- error messages. Here’s how these options align with the statements provided:* A (True):Server-generated alerts are indeed notifications from the Oracle Database Server that highlight existing or impending issues. These alerts are part of Oracle’s proactive management capabilities, designed to inform administrators about potential problems before they escalate.* C (True):These alerts are logged in the alert log of the Oracle Database. The alert log is a crucial diagnostic tool that records major events and changes in the database, including server-generated alerts.This log is often the first place DBAs look when troubleshooting database issues.* F (True):Server-generated alerts may include suggestions for correcting identified problems. Oracle Database often provides actionable advice within these alerts to assist in resolving issues more efficiently. These suggestions can range from adjusting configuration parameters to performing specific maintenance tasks.Options B, D, and E do not accurately describe server-generated alerts:* B (False):While the statement might have been true in some contexts, Oracle’s server-generated alerts often include corrective suggestions, making this statement incorrect.* D (False):Server-generated alerts can be viewed from various interfaces, not just the Cloud Control Database home page. They are accessible through Enterprise Manager, SQL Developer, and directly within the database alert log, among other tools.* E (False):While it’s true that threshold settings for some alerts can be modified, the method specified, usingDBMS_SERVER_ALERT, is not correct. Threshold settings are typically adjusted through Enterprise Manager or by modifying specific initialization parameters directly.References:* Oracle Database Documentation:Oracle Database 19c: Performance Management and Tuning* Oracle Base: Alert Log and Trace Files* Oracle Support:Understanding and Managing Server-Generated AlertsNEW QUESTION 40Which two options are part of a Soft Parse operation?
 SQL Row Source Generation
 SQL Optimization
 Semantic Check
 Shared Pool Memory Allocation
 Syntax Check
NEW QUESTION 41You 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?
 Trace Analyzer and Tracsess
 Trcsess and TKPROF
 Autotrace and TKPROF
 TKPROF and Trace Analyzer
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, 19cNEW QUESTION 42Which application lifecycle phase could be managed reactively?
 Design and development
 Upgrade or migration
 Testing
 Production
 Deployment
The production phase of the application lifecycle is often managed reactively. While proactive measures and performance tuning are essential, unforeseen issues can arise in production that require immediate attention and resolution. Reactive management involves monitoring performance and responding to issues as they occur, ensuring the application maintains acceptable performance levels for end-users.References* Oracle Database 19c Performance Tuning Guide – Reactive TuningNEW QUESTION 43Buffer cache access is too frequent when querying the SALES table. Examine this command which executes successfully:ALTER TABLE SALES SHRINK SPACE;For which access method does query performance on sales improve?
 db file scattered read
 db file sequential read
 index full scan
 index range scan
The SHRINK SPACE operation compacts the table, which can reduce fragmentation and thus improve performance for sequential reads of the table. This operation could improve full table scans, which are typically associated with db file sequential read wait events.References:* Oracle Database Administrator’s Guide, 19cNEW QUESTION 44Which two statements are true about session wait information contained in v$session or v$session_wait?
 Rows for sessions displaying WAITED UNKNOWN TIME in the STATE column indicate that the session is still waiting.
 Rows for sessions that are currently waiting have a wait time of 0.
 Rows for sessions that are not waiting might contain the actual wait time for the last event for which they waited.
 Rows for sessions that are currently waiting have their wait time incremented every microsecond.
 Rows for sessions that are not waiting always contain the total wait time since the session started.
In theV$SESSIONview, Oracle provides information about the session waits:B: When theWAIT_TIMEcolumn has a value of 0, it signifies that the session is currently waiting for a resource. This column represents the duration of the current or last wait.C: If the session is not actively waiting, theWAIT_TIMEcolumn shows the time the session spent waiting for the last wait event. If theSTATEcolumn is showing “WAITED KNOWN TIME”, it means the session is not currently waiting, but it indicates the time for which it had waited.References:* Oracle Database Reference, 19c* Oracle Database Performance Tuning Guide, 19cNEW QUESTION 45Which two statements are true about cursor sharing?
 Setting Cursor_sharing to FORCE can result in a plan that is suboptimal for the majority of values bound to a bind variable when executing a cursor with one or more bind variables.
 Adaptive Cursor Sharing guarantees that a suboptimal plan will never be used on any execution of a SQL statement.
 Setting optimizer_capture_sql_plan_baselines to TRUE loads all adaptive plans for the same statement into the cursor cache.
 Setting cursor_sharing to EXACT prevents Adaptive Cursor Sharing from being used.
 Adaptive Cursor Sharing requires histograms on filtered columns, used in equality predicates, to allow different execution plans to be generated for statements whose bound values would normally generate different plans at hard parse time.
A: WhenCursor_sharingis set toFORCE, Oracle tries to avoid hard parses by replacing literals in SQL statements with bind variables, even if the original statement didn’t include bind variables. This can lead to the use of a single execution plan for multiple executions of a statement with different literal values, which might not be optimal for all executions.D: Settingcursor_sharingtoEXACTensures that SQL statements must match exactly for them to share a cursor. This setting prevents the use of Adaptive Cursor Sharing (ACS) since ACS relies on the ability to share cursors among similar statements that differ only in their literal values. WithEXACT, there’s no cursor sharing for statements with different literals, hence no opportunity for ACS to operate.References:* Oracle Database SQL Tuning Guide, 19c* Oracle Database Reference, 19cNEW QUESTION 46Which Optimizer component helps decide whether to use a nested loop join or a hash join in an adaptive execution plan?
 Statistics Feedback
 SQL Plan Directives
 Statistics Collector
 Automatic Reoptimization
 Dynamic Statistics
In an adaptive execution plan, the Optimizer makes runtime decisions between nested loop and hash joins using a statistics collector. The collector is a row source that collects statistics about the rows it processes and can adapt the plan based on the number of rows processed.References:* Oracle Database SQL Tuning Guide, 19cNEW QUESTION 47Which two options are part of a Soft Parse operation?
 Syntax Check
 SQL Row Source Generation
 SQL Optimization
 Shared Pool Memory Allocation
 Semantic Check
During a soft parse, Oracle checks the shared SQL area to see if an incoming SQL statement matches one already in the shared pool. This operation includes syntax and semantic checks. The syntax check ensures the statement is properly formed, and the semantic check confirms that all the objects referenced in the SQL statement exist and that the user has the necessary privileges to access them.References:* Oracle Database Concepts, 19c* Oracle Database SQL Tuning Guide, 19c Loading …






	
	


To pass the Oracle 1Z0-084 exam, candidates must have a strong understanding of Oracle Database 19c architecture and features, as well as experience with database performance and tuning management. Candidates should also possess hands-on experience with the Oracle Database 19c platform, which will be tested through a series of multiple-choice questions and performance-based scenarios. Upon passing the exam, professionals will earn the Oracle Certified Specialist (OCS) certification, demonstrating their expertise in Oracle Database 19c performance and tuning management. Oracle Database 19c Performance and Tuning Management certification can help professionals advance their careers and differentiate themselves in the competitive job market.
 

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