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Oracle 1Z0-084 (Oracle Database 19c Performance and Tuning Management) Certification Exam is designed to test the knowledge and skills of database administrators and performance tuning experts in managing, monitoring, and optimizing performance in Oracle Database 19c environments. Oracle Database 19c Performance and Tuning Management certification exam is ideal for professionals who want to demonstrate their expertise in performance tuning, troubleshooting, and management of Oracle database systems. Passing 1z1-084 Exam validates your ability to effectively manage and optimize database performance, which is a critical requirement for businesses that rely on Oracle database systems to run their operations.

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Oracle 1Z0-084 exam is focused on assessing a candidate's knowledge and skills in Oracle database 19c performance and tuning management. It is designed for database administrators, performance analysts, and other professionals who are involved in managing the performance of Oracle database systems. Passing 1z1-084 exam demonstrates that an individual has a comprehensive understanding of the key concepts and techniques required to optimize Oracle database performance and ensure high levels of availability and reliability.

The 1Z0-084 exam is intended for experienced professionals who have already worked with Oracle Database 19c and have a solid understanding of the database architecture and administration. 1z1-084 Exam is designed to test the candidate's knowledge and skills in various areas related to performance and tuning management. 1z1-084 exam consists of multiple-choice questions, scenario-based questions, and performance-based questions.

Oracle Database 19c Performance and Tuning Management Sample Questions (Q18-Q23):

NEW QUESTION # 18
Which two statements are true about space usage in temporary tablespaces?

A. Temporary tablespaces setting Includes quotas to limit temporary space used by a session for that Temporary tablespace.
B. When a global temporary table instantiation is too large to fit in memory, space is allocated in a temporary tablespace.
C. When a session consumes all temporary tablespace storage, then the session would hang until the temporary space used by that session is cleared.
D. Lack of temporary tablespace space for sort operations can be prevented by using temporary tablespace groups.
E. A sort will fail if a sort to disk requires more disk space and no additional extent can be found/allocated in/for the sort segment.

Answer: B,D

Explanation:
Regarding space usage in temporary tablespaces, the following statements are true:
* A (Correct): When a global temporary table or a sort operation exceeds the available memory, Oracle Database allocates space in a temporary tablespace to store the temporary data or intermediate results.
* E (Correct): Using temporary tablespace groups can prevent insufficient temporary tablespace for sort operations by providing a collective pool of space from multiple temporary tablespaces, which can be used for user sorting operations.
The other options provided have inaccuracies:
* B (Incorrect): Oracle does not provide a mechanism for setting quotas on temporary tablespaces.
Quotas can be set for permanent tablespaces but not for temporary ones.
* C (Incorrect): A sort operation may fail due to insufficient space, but Oracle will attempt to allocate space in the temporary tablespace dynamically. If no space can be allocated, an error is returned rather than a sort failure.
* D (Incorrect): If a session consumes all available temporary tablespace storage, Oracle will not hang the session; it will return an error to the session indicating that it has run out of temporary space.
References:
* Oracle Database Administrator's Guide: Managing Space for Schema Objects
* Oracle Database Concepts: Temporary Tablespaces

NEW QUESTION # 19
Which three statements are true about using the in Memory (IM) column store?

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

Answer: A,D,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 # 20
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 the creation of materialized views
B. recommendations regarding rewriting the SQL statements
C. recommendations regarding the creation of additional indexes
D. recommendations regarding partitioning the tables
E. recommendations regarding the creation of SQL Patches

Answer: B,C

Explanation:
https://docs.oracle.com/en/database/oracle/oracle-database/21/tgsql/sql-tuning-advisor.html#GUID-
8E1A39CB-A491-4254-8B31-9B1DF7B52AA1
The goal is to reduce the db file scattered read waits, which are associated with full table scans. These are I
/O operations where Oracle retrieves data blocks scattered across the disk, typically when large amounts of data are read inefficiently. Running the SQL Tuning Advisor analyzes the workload and provides tuning recommendations. Let's evaluate the options.
Why A. Recommendations regarding the creation of additional indexes is correct:
* Full table scans (which cause db file scattered read) often occur because suitable indexes are missing.
* The SQL Tuning Advisor can identify queries that would benefit from indexes and recommend creating them. Indexes allow the database to access data more efficiently using row lookups, reducing the need for full table scans.
Why B. Recommendations regarding rewriting the SQL statements is correct:
* Sometimes, poorly written SQL statements cause inefficient execution plans that lead to db file scattered read.
* SQL Tuning Advisor can recommend SQL rewrites to make better use of indexes, avoid full table scans, or optimize joins. For example:
* Rewriting predicates to use indexed columns.
* Using hints to guide the optimizer.
Why Other Options Are Incorrect:
* C. Recommendations regarding the creation of materialized views:
* Materialized views are typically recommended to optimize complex queries involving aggregations or joins, not to address db file scattered read directly. They are less relevant for solving I/O issues caused by full table scans in this context.
* D. Recommendations regarding the creation of SQL Patches:
* SQL Patches are used to influence the execution plan for specific SQL statements. While SQL Patches can potentially fix performance issues, the SQL Tuning Advisor focuses on improving SQL and database design rather than patching queries.
* E. Recommendations regarding partitioning the tables:
* Partitioning tables can improve query performance, especially for very large datasets. However, this is a database design-level recommendation and is not typically provided by SQL Tuning Advisor. Partitioning would not directly target db file scattered read.
How SQL Tuning Advisor Helps:
The SQL Tuning Advisor provides actionable recommendations, such as:
* Creating indexes to reduce full table scans.
* Rewriting SQL to optimize the execution plan.
* Improving statistics to help the optimizer make better decisions.
References to Oracle Documentation:
* Oracle Database 19c Performance Tuning Guide:
* Section: Using SQL Tuning Advisor to Optimize Workloads.
* Explains recommendations for indexes and SQL rewrites to reduce I/O.
* Understanding Wait Events:
* Details about db file scattered read and how to address it.

NEW QUESTION # 21
What are the least elevated values of statistics_level and C0NTR0LJ4ANAGEMENT_PACK_ACCESS that allow the usage of Monitoring of Database Operations?

A. STATISTICS_LEVEL=TYPICAL and CONTROL_MANAGEMENT_PACK_ACCESS=DIAGOSTIC
B. STATISTICS_LEVEL=ALL and
CONTROL_MANAGEMENT_PACK_ACCESS=DIAGOSTIC+TUNING
C. STATISTICS_LEVEL=BASIC and CONTROL_MANAGEMENT_PACK ACCESS=DIAGOSTIC
D. STATISTICS_LEVEL=TYPICAL and
CONTROL_MANAGEMENT_PACK_ACCESS-DIAGOSTIC*TUNING

Answer: B

Explanation:
Monitoring of Database Operations requires that theSTATISTICS_LEVELparameter be set toALLand CONTROL_MANAGEMENT_PACK_ACCESSbe set toDIAGNOSTIC+TUNING. These settings enable all the advisory features and automatic tuning features within the Oracle Database, including the Automatic Workload Repository (AWR), Automatic Database Diagnostic Monitor (ADDM), and the full functionality of the SQL Tuning Advisor and SQL Access Advisor, which are components of the Diagnostic and Tuning packs.
* STATISTICS_LEVEL=ALL:This setting enables the collection of all system statistics for problem detection and self-tuning purposes.
* CONTROL_MANAGEMENT_PACK_ACCESS=DIAGNOSTIC+TUNING:This grants access to both the Diagnostic Pack and the Tuning Pack, which are essential for detailed performance monitoring and tuning capabilities.
References:
* Oracle Database Reference:STATISTICS_LEVEL
* Oracle Database Licensing Information User Manual:Oracle Database Management Packs

NEW QUESTION # 22
Examine this code block, which executes successfully:
DBMS_SERVER_ALERT. SET_THRESHOLD (
DBMS_SERVER_ALERT.CPU_TIME_PER_CALL, DBMS_SERVER_ALERT. OPERATOR_GE, '8000', DBMS_SERVER_ALERT.OPERATOR_GE, '10000', 1, 2, 'inst1', DBMS_SERVER_ALERT.OBJECT_TYPE_SERVICE, 'main.regress.rdbms.dev.us.example.com') ;

What will happen?

A. A critical alert will be issued when CPU time exceeds 2 minutes for each user call.
B. A warning alert will be issued when CPU time exceeds 1 minute for each user call.
C. A warning alert will be issued only when CPU time exceeds 10000 microseconds for each user call.
D. A critical alert will be issued when CPU time exceeds 10000 microseconds for each user call.

Answer: D

Explanation:
In the provided code block, the DBMS_SERVER_ALERT.SET_THRESHOLD procedure is used to set alert thresholds for the CPU time per call in Oracle Database. This procedure is a part of Oracle's Database Server Alert system, which monitors various metrics and generates alerts when certain thresholds are exceeded.
The parameters passed to the SET_THRESHOLD procedure are as follows:
* The first parameter DBMS_SERVER_ALERT.CPU_TIME_PER_CALL specifies the metric for which the threshold is being set, in this case, the CPU time consumed per database call.
* The second and third parameters DBMS_SERVER_ALERT.OPERATOR_GE and '8000' specify the warning threshold level and its value, respectively. However, these are not relevant to the answer as they are overridden by the critical threshold settings.
* The fourth and fifth parameters DBMS_SERVER_ALERT.OPERATOR_GE and '10000' set the critical threshold level and its value. This means that a critical alert will be generated when the CPU time per call exceeds 10000 microseconds.
* The remaining parameters specify the warning and critical alert intervals, the instance name, the object type, and the service name. These are not directly relevant to the behavior described in the options.
Thus, the correct answer is B, as the critical threshold for CPU time per call is set to 10000 microseconds, and the system is configured to issue a critical alert when this threshold is exceeded.
References:
* Oracle Database 19c documentation on the DBMS_SERVER_ALERT.SET_THRESHOLD procedure, which details the parameters and usage of this procedure for setting alert thresholds within Oracle Database monitoring system.
* Oracle Database Performance Tuning Guide, which provides best practices and methodologies for monitoring and tuning Oracle Database performance, including the use of server alerts and thresholds.

NEW QUESTION # 23
......

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