ORACLE DATABASE 19C PERFORMANCE AND TUNING MANAGEMENT VALID STUDY GUIDE & 1Z0-084 TORRENT VCE & ORACLE DATABASE 19C PERFORMANCE AND TUNING MANAGEMENT DUMPS PDF

Oracle Database 19c Performance and Tuning Management valid study guide & 1Z0-084 torrent vce & Oracle Database 19c Performance and Tuning Management dumps pdf

Oracle Database 19c Performance and Tuning Management valid study guide & 1Z0-084 torrent vce & Oracle Database 19c Performance and Tuning Management dumps pdf

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So many candidates have encountered difficulties in preparing to pass the 1Z0-084 exam. But our study materials will help candidates to pass the exam easily. Our 1Z0-084 guide questions can provide statistics report function to help the learners to find weak links and deal with them. The 1Z0-084 Test Torrent boost the function of timing and simulating the exam. They set the timer to simulate the exam and help the learners adjust the speed and keep alert.

Oracle 1Z0-084 (Oracle Database 19c Performance and Tuning Management) Certification Exam is a professional certification exam offered by Oracle to validate the skills and knowledge of individuals in performance and tuning management of Oracle Database 19c. 1Z0-084 exam is designed for professionals who work with Oracle Database administrators, database developers, and other IT professionals who are responsible for the overall performance of an Oracle Database 19c environment. 1Z0-084 Exam Tests the candidate's knowledge on various topics like database architecture, SQL tuning, performance analysis, and performance tuning best practices.

Oracle Database 19c Performance and Tuning Management Sample Questions (Q49-Q54):

NEW QUESTION # 49
During which application lifecycle phase do you take baselines?

  • A. Design and development
  • B. Migration or upgrade
  • C. Production
  • D. Testing
  • E. Deployment

Answer: C

Explanation:
Baselines are typically taken during the production phase of the application lifecycle. They provide a snapshot of performance metrics under normal operating conditions which can be used for comparison against future performance. Baselines are essential for understanding how the system performs under its typical workload and for detecting deviations from this expected performance over time, especially after changes like migrations, upgrades, or significant changes in user activity.
References
* Oracle Database 19c Performance Tuning Guide - Managing Performance Through Baselines


NEW QUESTION # 50
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. ROW STORE COMPRESS ADVANCED
  • B. MN STORE COMPRESS FOR QUERY LOW
  • C. COLUMN STORE COMPRESS FOR QUERY HIGH
  • D. STORE COMPRESS

Answer: C

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 # 51
Which three types of statistics are captured by statspack with snap level 6?

  • A. Parent and child latches
  • B. Plan usage data
  • C. Enqueue statistics
  • D. Optimizer execution plans
  • E. Segment-level statistics
  • F. Parent and child latches

Answer: A,C,E

Explanation:
Statspack is a performance diagnostic tool provided by Oracle prior to the introduction of the Automatic Workload Repository (AWR). At snap level 6, Statspack captures the following types of statistics:
* A (Correct):Parent and child latches are captured. Latch statistics provide information about contention for latches, which are low-level serialization mechanisms used by Oracle.
* E (Correct):Enqueue statistics, which provide information on the waits for locks that manage the concurrency between users.
* F (Correct):Segment-level statistics, which provide detailed information on database segments such as tables, indexes, etc., to identify I/O and contention issues.
* C (Incorrect):While optimizer execution plans are an essential aspect of performance tuning, detailed execution plan capture is not part of the Statspack report at level 6.
* D (Incorrect):Plan usage data refers to how frequently a plan is being used, which is more associated with AWR and not typically captured in Statspack reports.
References:
* Oracle Database Performance Tuning Guide:Using Statspack


NEW QUESTION # 52
Examine this command:

What is the maximum number of baselines generated by this command that you can have at any given time?

  • A. 0
  • B. 1
  • C. 2
  • D. 3

Answer: D

Explanation:
The DBMS_WORKLOAD_REPOSITORY.CREATE_BASELINE_TEMPLATE procedure is used to create a repeating baseline template in the Automatic Workload Repository (AWR). This template will generate baselines for a specified duration of time on a repeating schedule. The parameters of the CREATE_BASELINE_TEMPLATE procedure include the start and end times, as well as the day of the week and hour in the day when the baseline should be captured.
Given that the command specifies a repeating baseline every Monday at 5 PM with a duration of 3 hours and it expires after 30 days, the number of baselines generated by this command that you can have at any given time depends on how many Mondays fall within the most recent 30-day period.
Since the maximum number of Mondays that can occur within any 30-day period is 5 (four to five weeks), but considering the baseline has a duration of 3 hours and starts every Monday at 5 PM, only one baseline for each Monday can exist at a time. However, since baselines are preserved for 30 days, you could have multiple instances of Monday baselines preserved at a time.
* A (Incorrect): There can be more than one baseline at a time because the template will generate a baseline for every Monday during the 30-day expiration period.
* B (Incorrect): There will be more than three baselines because the template creates a baseline for every Monday within the 30-day expiration period.
* C (Correct): Over a 30-day period, considering the duration of the baselines and their frequency, you could have up to a maximum of 52 baselines if you consider the entire year.
* D (Incorrect): There is no option that restricts the number of baselines to 5 specifically, the answer relies on the calculation of how many baselines can exist over a period of time considering their expiration.
References:
* Oracle Database PL/SQL Packages and Types Reference: DBMS_WORKLOAD_REPOSITORY


NEW QUESTION # 53
The 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?

  • A. Create the RECYCLE cache and cache tables accessed by the SQL statements.
  • B. Create the KEEP cache and cache tables accessed by the SQL statements.
  • C. Set OPTIMIZER_CAPTURE_SQL_PLAN_BASELINES to TRUE.
  • D. Set the CURSOR_SHARING parameter to FORCE.
  • E. Increase the size of the library cache.

Answer: D,E

Explanation:
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 the CURSOR_SHARING parameter to FORCE will 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): Setting OPTIMIZER_CAPTURE_SQL_PLAN_BASELINES to TRUE can 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_SHARING


NEW QUESTION # 54
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