VALID 1Z1-084 EXAM PAPERS, 1Z1-084 RELIABLE EXAM PDF

Valid 1z1-084 Exam Papers, 1z1-084 Reliable Exam Pdf

Valid 1z1-084 Exam Papers, 1z1-084 Reliable Exam Pdf

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Tags: Valid 1z1-084 Exam Papers, 1z1-084 Reliable Exam Pdf, 1z1-084 Pass Test Guide, Valid 1z1-084 Exam Topics, 1z1-084 Valid Test Question

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Oracle 1Z0-084 certification exam is an essential certification for individuals who work with Oracle Database 19c. It tests their knowledge and skills in performance tuning and management, and earning this certification validates their expertise in this area. By passing 1z1-084 Exam, individuals can increase their career opportunities and demonstrate their proficiency in Oracle Database 19c performance and tuning management.

Oracle 1Z0-084 exam is divided into four main sections that cover a wide range of topics. The first section, Oracle Database Performance Tuning Concepts, covers the basics of Oracle Database 19c performance tuning architecture, memory, and storage management. The second section, Database Resource Management, covers topics such as the automatic database diagnostic monitor, Oracle database time model, and the Resource Manager.

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Oracle 1Z0-084 certification exam consists of 75 multiple-choice questions that must be answered in 120 minutes. 1z1-084 exam is computer-based and can be taken at authorized testing centers worldwide. Candidates must score at least 63% to pass the exam and earn the certification. 1z1-084 Exam Fee is $245 USD, and candidates can register for the exam on the Oracle website.

Oracle Database 19c Performance and Tuning Management Sample Questions (Q31-Q36):

NEW QUESTION # 31
Accessing 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?

  • A. Partition the SALES table.
  • B. Coalesce all sales table indexes.
  • C. Increase PCTFREE for the SALES table.
  • D. Re-create the SALES table.
  • E. Compress the SALES table.

Answer: A,E

Explanation:
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, 19c
These 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 # 32
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: C

Explanation:
TheDBMS_WORKLOAD_REPOSITORY.CREATE_BASELINE_TEMPLATEprocedure 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. Theparameters of the CREATE_BASELINE_TEMPLATEprocedure 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 # 33
Which three statements are true about using the in Memory (IM) column store?

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

Answer: A,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 # 34
Users complain about slowness and session interruptions. Additional checks reveal the following error in the application log:

Which file has additional information about this error?

  • A. Alert log
  • B. ASH report
  • C. Session trace file SQL trace file automatically generated by the error
  • D. SQL trace file automatically generated by the error

Answer: A

Explanation:
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, 19c


NEW QUESTION # 35
A database instance is suffering poor I/O performance on two frequently accessed large tables.
No Big Table caching occurs in the database.
Examine these parameter settings:

Which are two actions either one of which will allow Big Table caching to occur?

  • A. Increasing DB_CACHESIZE to 1 G
  • B. Setting DB_KEEP_CACHE_SIZE to at least 50M
  • C. Increasing DB_BIG_TABLE_CACHE_PERCENT_TARGET to at least 25
  • D. Setting PARALLEL_DEGREE_POLICYAUTO
  • E. Setting PARALLEL_DEGREE_POLICYADAPTIVE
  • F. Increasing DB_BIG_TABLE_CACHE_PERCENT_TARGET to at least 50

Answer: A,C

Explanation:
Big Table caching is a feature that allows frequently accessed large tables to be cached in memory to improve I/O performance. From the parameter settings provided, Big Table caching is not occurring because DB_BIG_TABLE_CACHE_PERCENT_TARGET is set to 10, which is the minimum threshold for enabling the feature, but the size of the cache is too small for the big tables to be effectively cached.
To enable Big Table caching, one of the following actions could be taken:
* C (Correct): Increasing DB_BIG_TABLE_CACHE_PERCENT_TARGET to at least 25. This action would allocate a larger percentage of the buffer cache for storing big tables, which could allow for caching large tables and thus improve I/O performance.
* D (Correct): Increasing DB_CACHE_SIZE to 1G. Since the size of the buffer cache is a determining factor for how much data can be cached, increasing this parameter would provide more memory space for big tables to be cached.
Options A, B, E, and F will not enable Big Table caching because:
* A: Increasing DB_BIG_TABLE_CACHE_PERCENT_TARGET to 50 without adjusting the overall size of the cache might still not be sufficient if the DB_CACHE_SIZE is not large enough to hold the big tables.
* B: Setting DB_KEEP_CACHE_SIZE to at least 50M only specifies a separate buffer pool for objects with the KEEP cache attribute and does not affect Big Table caching.
* E: and F: Changing the PARALLEL_DEGREE_POLICY to ADAPTIVE or AUTO influences the behavior of parallel execution but does not directly enable or influence Big Table caching.
References:
* Oracle Database Performance Tuning Guide: Big Table Caching
* Oracle Database Reference: DB_BIG_TABLE_CACHE_PERCENT_TARGET
* Oracle Database Reference: DB_CACHE_SIZE


NEW QUESTION # 36
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