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The Oracle 1Z0-084 exam consists of 60 multiple-choice questions, which must be answered within 105 minutes. The questions are divided into three sections: System Infrastructure, Database Performance Management, and Optimizing Database Performance. To pass the exam, the candidate must score at least 63% (38 out of 60 questions) or higher. Oracle recommends that candidates have at least two years of relevant experience in database administration or development before taking 1Z0-084 Exam, as well as experience with Oracle Database 19c. With the right study tools and experience, candidates can prepare for and pass the Oracle 1Z0-084 exam and demonstrate their expertise in performance and tuning management.
Oracle Database 19c Performance and Tuning Management Sample Questions (Q44-Q49):
NEW QUESTION # 44
Examine these commands, which execute successfully:
Which statement is true?
- A. AWR snapshots can be purged manually in pluggable databases.
- B. AWR- snapshots in all pluggable databases will be purgedautomatically after every 60 mins.
- C. ADDM, AWR, and ASH reports can be purged automatically.
- D. AD DM is enabled for all pluggable databases.
Answer: A
Explanation:
TheDBMS_WORKLOAD_REPOSITORY.MODIFY_SNAPSHOT_SETTINGSprocedure allows setting attributes related to AWR snapshots. While the interval setting controls the frequency of snapshot generation, purging them is a separate process that can be managed either automatically (with retention settings) or manually.References:
* Oracle Database PL/SQL Packages and Types Reference, 19c
* Oracle Multitenant Administrator's Guide, 19c
NEW QUESTION # 45
Which Optimizer component helps decide whether to use a nested loop join or a hash join in an adaptive execution plan?
- A. SQL Plan Directives
- B. Automatic Reoptimization
- C. Dynamic Statistics
- D. Statistics Collector
- E. Statistics Feedback
Answer: D
Explanation:
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, 19c
NEW QUESTION # 46
Which three statements are true about using the in Memory (IM) column store?
- A. It does not improve performance for queries using cached results of function evaluations on columns from the same table.
- B. It improves performance for queries joining several tables using bloom filter joins.
- C. It does not improve performance for queries using user-defined virtual column results.
- D. It does not improve performance for queries that use join groups on columns from different tables.
- E. It can improve OLTP workload performance by avoiding the use of indexes.
- F. It does not require all database data to fit in memory to improve query performance.
Answer: B,E,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 # 47
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 Statspack and import it by using
$ORACLE_HOME/rdbms/admin/awrload into the AWRrepository.
- B. 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.
- C. Export the data by using expdp from the ftatspack repository and import it by using impdp into the AWR repository.
- D. 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.
Answer: D
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 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 AWR
NEW QUESTION # 48
Which two Oracle Database features use database services?
- A. Database Resource Manager
- B. Oracle Scheduler
- C. Oracle SQL Tuning Advisor
- D. Oracle SQL Performance Management
- E. Oracle Automatic Reoptimization
Answer: A,B
Explanation:
Database services in Oracle are used to manage how resources are allocated and how workloads are managed within the database. The features that use database services are:
* B (Correct):Database Resource Manager (DBRM) uses services to control resource allocation to different workloads. It ensures that resources are assigned to the most critical tasks first, based on the service associated with the workload.
* E (Correct):Oracle Scheduler can also utilize database services. Jobs in Oracle Scheduler can be assigned to different services to control resource allocation and prioritization.
The other features mentioned are related to SQL performance but do not directly utilize database services in the way Resource Manager and Scheduler do:
* A:Oracle Automatic Reoptimization is a feature that allows the database to automatically improve the execution plan of a SQL statement after it is executed, based on the actual performance metrics, but it does not directly use database services.
* C:Oracle SQL Performance Management involves various components of SQL tuning and monitoring, but it does not use database services to operate.
* D:Oracle SQL Tuning Advisor provides advice on how to tune SQL queries for better performance.
While it can be used in conjunction with services for managing and analyzing workloads, it doesn't use services in its core functionality.
References:
* Oracle Database Administrator's Guide:Administering Services
* Oracle Database Administrator's Guide:Managing Resources with Oracle Database Resource Manager
* Oracle Database Scheduler Developer's Guide:Using the Scheduler
NEW QUESTION # 49
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