1Z1-084 RELIABLE EXAM BLUEPRINT - 1Z1-084 TEST ENGINE VERSION

1z1-084 Reliable Exam Blueprint - 1z1-084 Test Engine Version

1z1-084 Reliable Exam Blueprint - 1z1-084 Test Engine Version

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To achieve the Oracle 1Z0-084 certification, candidates must pass a 120-minute exam consisting of 80 multiple-choice questions. 1z1-084 Exam covers topics such as performance tuning fundamentals, SQL tuning, memory management, and database resource management. Candidates must have a deep understanding of Oracle Database 19c architecture, configuration, and management to pass the exam.

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Cracking the Oracle Database 19c Performance and Tuning Management (1z1-084) exam brings high-paying jobs, promotions, and validation of talent. Dozens of Oracle Database 19c Performance and Tuning Management (1z1-084) exam applicants don't get passing scores in the real 1z1-084 exam because of using invalid Oracle 1z1-084 exam dumps. Failure in the 1z1-084 Exam leads to a loss of time, money, and confidence. If you are an applicant for the Oracle Database 19c Performance and Tuning Management (1z1-084) exam, you can prevent these losses by using the latest real 1z1-084 exam questions of Actual4Dumps.

Oracle 1Z0-084 exam is an essential certification for IT professionals who specialize in database performance and tuning management. Oracle Database 19c Performance and Tuning Management certification validates the candidates' expertise in designing, implementing, and managing Oracle Database 19c performance and tuning solutions. 1z1-084 Exam covers a wide range of topics related to performance tuning, including database architecture, memory management, SQL tuning, database monitoring, and optimization techniques.

Oracle Database 19c Performance and Tuning Management Sample Questions (Q27-Q32):

NEW QUESTION # 27
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 warning alert will be issued when CPU time exceeds 1 minute for each user call.
  • B. A critical alert will be issued when CPU time exceeds 2 minutes 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 # 28
Which procedure gathers statistics that are always used in the generation of any execution plan?

  • A. DBMS_STATS.GATHER_DICTIONARY_STATS
  • B. DBMS_STATS.GATHER_DATABASE_STATS
  • C. DBMS_STATS.GATHER_SYSTEM_STATS
  • D. DBMS_STATS.GATHER_FIXED_ OBJECTS_STATS

Answer: B

Explanation:
TheDBMS_STATS.GATHER_DATABASE_STATSprocedure is used to gather statistics for all schema objects in the database that do not have up-to-date statistics. These statistics are essential for the optimizer to make informed decisions about the most efficient way to execute a query. The procedure collects statistics such as table and column statistics, index statistics, and system statistics, which are all used in the execution plan generation.
References:
* Oracle Database PL/SQL Packages and Types Reference, 19c
* Oracle Database Performance Tuning Guide, 19c


NEW QUESTION # 29
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. COLUMN STORE COMPRESS FOR QUERY HIGH
  • C. MN STORE COMPRESS FOR QUERY LOW
  • D. STORE COMPRESS

Answer: B

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 # 30
Which two types of performance problems are reported by ADDM for PDBS?

  • A. SGA sizing issues
  • B. User I/O waits
  • C. Top SQL statements
  • D. Excessive checkpoint writes
  • E. I/O capacity limits

Answer: C,E

Explanation:
ADDM (Automatic Database Diagnostic Monitor) is a key Oracle diagnostic tool that analyzes performance data captured by AWR (Automatic Workload Repository) and provides insights into performance issues. In a PDB (Pluggable Database), ADDM can provide recommendations for various types of performance issues.
Why A. I/O capacity limits is correct:
* ADDM evaluates the performance of a database and identifies I/O bottlenecks that could be impacting query performance.
* I/O capacity limits occur when the database cannot handle the I/O workload effectively, which could be due to disk contention, inadequate I/O throughput, or hardware limitations.
* ADDM reports such issues and suggests remedies like tuning SQL queries, redistributing I/O workloads, or upgrading storage systems.
Why D. Top SQL statements is correct:
* One of the critical capabilities of ADDM is identifying high-resource-consuming SQL statements (Top SQL) that are impacting database performance.
* For PDBs, ADDM provides specific recommendations to optimize these SQL statements, such as improving execution plans, adding indexes, or rewriting queries.
Why Other Options Are Incorrect:
* B. Excessive checkpoint writes:
* While excessive checkpoint writes can occur, ADDM typically focuses on higher-level performance problems like I/O issues or top SQL rather than specific low-level operational events like checkpointing. Excessive checkpoint writes are not commonly reported directly for PDBs by ADDM.
* C. SGA sizing issues:
* ADDM does not directly analyze or provide recommendations for SGA (System Global Area) sizing issues at the PDB level because SGA is managed at the CDB (Container Database) level.
PDBs share the SGA of the CDB.
* E. User I/O waits:
* While user I/O waits are captured in performance metrics, ADDM typically groups them under broader issues like I/O capacity limits. It does not specifically report on "user I/O waits" as a standalone problem.
Key Features of ADDM for PDBs:
* Identifying Top SQL Statements impacting performance.
* Reporting I/O issues, including capacity limits and contention.
* Highlighting inter-PDB resource contention within the same CDB.
References to Oracle Documentation:
* Oracle Database 19c Performance Tuning Guide:
* Section: Using ADDM for Pluggable Databases.
* Details the types of performance issues ADDM reports for PDBs.
* Automatic Database Diagnostic Monitor (ADDM) Concepts:
* Highlights ADDM's ability to analyze I/O, SQL performance, and resource utilization.


NEW QUESTION # 31
Which two statements are true about session wait information contained in v$session or v$session_wait?

  • A. Rows for sessions that are currently waiting have their wait time incremented every microsecond.
  • B. Rows for sessions that are not waiting always contain the total wait time since the session started.
  • C. Rows for sessions that are currently waiting have a wait time of 0.
  • D. Rows for sessions that are not waiting might contain the actual wait time for the last event for which they waited.
  • E. Rows for sessions displaying WAITED UNKNOWN TIME in the STATE column indicate that the session is still waiting.

Answer: C,D

Explanation:
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, 19c


NEW QUESTION # 32
......

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