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Oracle 1Z1-182 Exam Syllabus Topics:

Topic
Details

Topic 1

Employ Oracle-Supplied Database Tools: This section evaluates the abilities of Database Engineers and Support Specialists in identifying and using Oracle-supplied tools for managing databases. It focuses on leveraging tools to monitor, troubleshoot, and optimize database performance effectively.

Topic 2

Displaying Creating and Managing PDBs: This section assesses the knowledge of Cloud Database Architects in creating pluggable databases (PDBs) from seeds or other techniques. It also covers modifying PDB modes and attributes to meet specific application requirements.

Topic 3

Introduction to Auditing: This domain tests the abilities of Compliance Specialists in implementing database auditing practices. It includes creating, modifying, and maintaining auditing policies while applying value-based auditing techniques like Fine-Grained Auditing (FGA).

Topic 4

Introduction to Performance: This section evaluates the expertise of Performance Analysts in summarizing Oracle database performance management techniques. It includes measuring database performance using SQL execution plans, directives, and advisors to ensure optimal system efficiency.

Topic 5

Managing Storage: This section tests the knowledge of Storage Engineers in managing storage features such as resumable space allocation, segment space-saving, and block space management. It also includes defining segment characteristics to optimize storage utilization.

Topic 6

Moving Data: This section evaluates the expertise of Data Migration Specialists in moving data within Oracle databases. It includes using external tables, executing Oracle Data Pump operations, and distinguishing SQL*Loader commands for importing data efficiently.

Topic 7

Automated Maintenance: This section measures the skills of Database Administrators in describing automated maintenance tasks within Oracle databases. It focuses on applying automated features to streamline routine maintenance activities.

Topic 8

Describe Managing Database Instances: This section tests the knowledge of Database Administrators in performing essential tasks for managing database instances. It includes starting and shutting down databases, utilizing dynamic performance views, managing initialization parameter files, and using the Automatic Diagnostic Repository (ADR) for troubleshooting.

Oracle Database 23ai Administration Associate Sample Questions (Q10-Q15):

NEW QUESTION # 10
Which two statements describe how Optimizer Statistics are collected?

A. Optimizer Statistics are collected automatically by an automatic maintenance job that runsduring predefined maintenance windows.
B. Optimizer Statistics are collected automatically by Automatic Workload Repository (AWR) Snapshot.
C. Optimizer Statistics can be manually collected at multiple levels using DBMS_STATS.GATHER_*_STATS PL/SQL procedures.
D. Optimizer Statistics are collected in real-time as data is inserted, deleted, or updated.
E. Optimizer Statistics are collected by the Statistics Advisor.

Answer: A,C

Explanation:
Optimizer Statistics drive the cost-based optimizer's query plans. Let's dissect each option:
A . Optimizer Statistics are collected automatically by an automatic maintenance job that runs during predefined maintenance windows.
True. Oracle 23ai uses the AutoTask framework to gather stats automatically during maintenance windows (e.g., nightly 10 PM-2 AM). The GATHER_STATS_PROG job, managed by DBMS_AUTO_TASK_ADMIN, collects stats for stale or missing objects.
Mechanics:Controlled by STATISTICS_LEVEL=TYPICAL (default) and the DEFAULT_MAINTENANCE_PLAN. It prioritizes objects with >10% changes (stale stats) or no stats.
Practical Use:Ensures stats are current without manual intervention, critical for dynamic workloads.
Edge Case:Disabled if STATISTICS_LEVEL=BASIC or the job is manually disabled via DBMS_AUTO_TASK_ADMIN.DISABLE.
B . Optimizer Statistics are collected in real-time as data is inserted, deleted, or updated.
False. Stats aren't updated in real-time; this would be too resource-intensive. Instead, Oracle tracks changes (e.g., via DBA_TAB_MODIFICATIONS) and updates stats periodically via AutoTask or manually. Real-time stats exist in 23ai for specific cases (e.g., GATHER_TABLE_STATS with REAL_TIME_STATS), but it's not the default.
Why Incorrect:Real-time collection would degrade performance for OLTP systems, contradicting Oracle's batch approach.
C . Optimizer Statistics can be manually collected at multiple levels using DBMS_STATS.GATHER_*_STATS PL/SQL procedures.
True. The DBMS_STATS package offers granular control: GATHER_TABLE_STATS, GATHER_SCHEMA_STATS, GATHER_DATABASE_STATS, etc., allowing stats collection for tables, schemas, or the entire database.
Mechanics:Example: BEGIN DBMS_STATS.GATHER_TABLE_STATS('HR', 'EMPLOYEES'); END;. Options like ESTIMATE_PERCENT and DEGREE fine-tune the process.
Practical Use:Used for immediate stats updates post-DML or for custom schedules outside maintenance windows.
Edge Case:Overuse can lock stats (e.g., FORCE=TRUE), requiring careful management.
D . Optimizer Statistics are collected by the Statistics Advisor.
False. The Statistics Advisor (new in 23ai) analyzes and recommends stats improvements but doesn't collect them. Collection is still via DBMS_STATS or AutoTask.
Why Incorrect:It's a diagnostic tool, not an executor.
E . Optimizer Statistics are collected automatically by Automatic Workload Repository (AWR) Snapshot.
False. AWR snapshots capture performance metrics (e.g., wait times), not optimizer stats. Stats collection is a separate process via AutoTask or manual commands.
Why Incorrect:AWR and stats collection serve distinct purposes-monitoring vs. optimization.

NEW QUESTION # 11
Which two methods can be used to purge audit records of the Unified Audits?

A. Use DBMS_AUDIT_MGMT.DELETE_AUDIT_RECORDS('POLICY_NAME') as a privileged user to manually purge audit records of a specified Unified Policy.
B. Use DBMS_AUDIT_MGMT.DELETE_AUDIT_RECORDS('POLICY_NAME') as a privileged user to manually purge audit records of a specified Unified Policy.
C. Only the owner of a Unified Audit Policy can purge audit records by resetting the policy.
D. Only viewed audit records can be purged from Unified Audits.
E. Use DBMS_AUDIT_MGMT.CLEAN_AUDIT_TRAIL as a privileged user to manually purge audit records.
F. Use DBMS_AUDIT_MGMT.CREATE_PURGE_JOB as a privileged user to schedule an automatic purge job.

Answer: E,F

Explanation:
False. No such procedure exists in DBMS_AUDIT_MGMT. The package offers CLEAN_AUDIT_TRAIL and CREATE_PURGE_JOB, but nothing targets a specific policy's records by name in this format. You can filter records in UNIFIED_AUDIT_TRAIL by policy (e.g., SELECT * WHERE UNIFIED_AUDIT_POLICIES = 'POLICY_NAME'), but purging is all-or-nothing or time-based, not policy-specific via a single command.
Why Incorrect:This appears to be a fabricated or misinterpreted option, possibly confusing audit policy management with trail purging.
Explanation:
Unified Auditing in Oracle 23ai consolidates audit records into a single trail, managed via the DBMS_AUDIT_MGMT package. Let's evaluate each option with extensive detail:
A : Only viewed audit records can be purged from Unified Audits.
False. There's no concept of "viewed" audit records restricting purging. Unified Audit records (stored in UNIFIED_AUDIT_TRAIL) can be purged based on time, policy, or manual intervention, regardless of whether they've been viewed. This option misrepresents audit management capabilities.
Mechanics:Purging is controlled by retention policies or explicit commands, not view status. For example, records older than a set retention period (e.g., 90 days via DBMS_AUDIT_MGMT.SET_AUDIT_TRAIL_PROPERTY) are eligible for purging.
Why Incorrect:No Oracle documentation ties purging to viewing, making this a fabricated limitation.
B : Use DBMS_AUDIT_MGMT.CREATE_PURGE_JOB as a privileged user toschedule an automatic purge job.
True. This procedure creates a scheduled job to automatically purge audit records based on a retention policy or custom criteria. It's a standard method for ongoing audit trail maintenance, requiring privileges like AUDIT_ADMIN.
Mechanics:Example: BEGIN DBMS_AUDIT_MGMT.CREATE_PURGE_JOB(AUDIT_TRAIL_TYPE => DBMS_AUDIT_MGMT.AUDIT_TRAIL_UNIFIED, JOB_FREQUENCY => 'DAILY', JOB_STATUS => DBMS_AUDIT_MGMT.JOB_ENABLED); END;. This schedules daily purges of old records, using the retention period set by SET_AUDIT_TRAIL_PROPERTY.
Practical Use:Ideal for production environments to prevent the audit trail from growing indefinitely (e.g., avoiding tablespace exhaustion in SYSAUX).
Edge Case:If no retention period is set, the job purges nothing until configured, highlighting the need for prior setup.
C : Only the owner of a Unified Audit Policy can purge audit records by resetting the policy.
False. Audit policies don't have "owners" in the traditional sense; they're created by users with AUDIT_ADMIN and managed globally. Resetting or disabling a policy (e.g., NOAUDIT POLICY my_policy) stops auditing but doesn't purge existing records. Purging is a separate operation via DBMS_AUDIT_MGMT.
Why Incorrect:This conflates policy management with audit trail cleanup, which are distinct in Oracle.
D : Use DBMS_AUDIT_MGMT.CLEAN_AUDIT_TRAIL as a privileged user to manually purge audit records.
True. This procedure manually purges all Unified Audit records up to the current timestamp (or a specified time), requiring AUDIT_ADMIN privileges. It's a one-time cleanup tool.
Mechanics:Example: BEGIN DBMS_AUDIT_MGMT.CLEAN_AUDIT_TRAIL(AUDIT_TRAIL_TYPE => DBMS_AUDIT_MGMT.AUDIT_TRAIL_UNIFIED, USE_LAST_ARCH_TIMESTAMP => FALSE); END;. This clears the entire trail unless restricted by a timestamp.
Practical Use:Useful for immediate space reclamation or post-incident cleanup, unlike scheduled jobs.
Edge Case:If the audit trail is large, this may require significant undo space and time, potentially impacting performance.

NEW QUESTION # 12
Which three Oracle database space management features will work with both Dictionary and Locally managed tablespaces?

A. Online index segment shrink.
B. Oracle Managed Files (OMF).
C. Automatic data file extension (AUTOEXTEND).
D. Online table segment shrink.
E. Capacity planning growth reports based on historical data in the Automatic Workload Repository (AWR).

Answer: B,C,E

Explanation:
Dictionary-managed tablespaces (DMTs) use the data dictionary for extent management, whilelocally managed tablespaces (LMTs) use bitmaps. Let's evaluate compatibility:
A . Capacity planning growth reports based on historical data in the Automatic Workload Repository (AWR).
True. AWR tracks space usage (e.g., DBA_HIST_TBSPC_SPACE_USAGE) regardless of tablespace type, enabling growth reports for both DMTs and LMTs.
Mechanics:MMON collects metrics like segment growth, stored in SYSAUX, accessible via EM or scripts.
Practical Use:Helps predict when to add data files, universal across management types.
B . Online table segment shrink.
False. ALTER TABLE ... SHRINK SPACE requires LMTs with Automatic Segment Space Management (ASSM), unavailable in DMTs, which lack bitmap-based free space tracking.
Why Incorrect:DMTs use freelists, incompatible with shrink operations.
C . Online index segment shrink.
False. Like tables, ALTER INDEX ... SHRINK SPACE requires LMTs with ASSM, not supported in DMTs.
Why Incorrect:Same limitation as B; DMTs can't compact online.
D . Oracle Managed Files (OMF).
True. OMF automates file naming and placement (via DB_CREATE_FILE_DEST) for both DMTs and LMTs, agnostic to extent management.
Mechanics:Example: CREATE TABLESPACE ts1; creates an OMF file in either type.
Edge Case:DMTs are rare in 23ai, but OMF still applies.
E . Automatic data file extension (AUTOEXTEND).
True. AUTOEXTEND ON allows data files to grow as needed, supported in both DMTs and LMTs since early versions.
Mechanics:ALTER DATABASE DATAFILE ... AUTOEXTEND ON NEXT 100M; works universally.

NEW QUESTION # 13
Which two statements are true about advanced connection options supported by Oracle Net for connection to Oracle?

A. Source Routing requires the use of encrypted connections.
B. Load Balancing requires the use of a name server.
C. Load Balancing can balance the number of connections to dispatchers when using a Shared Server configuration.
D. Connect Time Failover requires the connect string to have two or more listener addresses configured.
E. Connect Time Failover requires the use of Transparent Application Failover (TAF).

Answer: C,D

Explanation:
A .False. Connect Time Failover doesn't need TAF; TAF is for runtime failover.
B .False. Source Routing doesn't mandate encryption.
C .True. Needs multiple addresses (e.g., (ADDRESS_LIST=...)) for failover.
D .False. Load balancing works with tnsnames.ora, no name server required.
E .True. Balances connections across shared server dispatchers.

NEW QUESTION # 14
Which two statements are true concerning logical and physical database structures?

A. A segment's blocks can be of different sizes.
B. A segment's blocks can be of different sizes.
C. All tablespaces may have one or more data files.
D. A segment might have only one extent.
E. Segments can span multiple tablespaces.
F. A segment can span multiple data files in some tablespaces.

Answer: D,F

Explanation:
False. All blocks in a segment use the tablespace's block size (e.g., 8KB). While a database can have tablespaces with different block sizes (e.g., 8KB, 32KB), a single segment's blocks are uniform, as it resides in one tablespace.
Explanation:
Logical structures (e.g., segments, extents) map to physical structures (e.g., data files, blocks). Let's dissect each option:
A : A segment can span multiple data files in some tablespaces.
True. A segment (e.g., a table or index) is a logical entity stored in a tablespace. In a smallfile tablespace (default in Oracle), a segment's extents can span multiple data files if the tablespace has multiple files and space allocation requires it. This is common in large tables or when autoextend adds new files.
Mechanics:Oracle allocates extents across available data files in a round-robin fashion (with ASSM) or as needed, ensuring the segment's data is distributed. This doesn't apply to bigfile tablespaces, which use a single data file.
Example:A 10GB table in a tablespace with two 5GB data files will span both.
B : Segments can span multiple tablespaces.
False. A segment is confined to a single tablespace. Oracle enforces this to maintain logical separation (e.g., a table's data stays in its assigned tablespace). Partitioned tables can have partitions in different tablespaces, but each partition is a separate segment.
Why Not:The segment header and extent map reside in one tablespace, preventing cross-tablespace spanning for a single segment.
C : A segment might have only one extent.
True. A segment starts with one extent upon creation (e.g., a small table or index). If no further growth occurs, it remains a single-extent segment. This is common with small objects or when INITIAL extent size suffices.
Mechanics:In locally managed tablespaces (default), the initial extent is allocated based on INITIAL or tablespace defaults (e.g., 64KB), and additional extents are added only as needed.
D : All tablespaces may have one or more data files.
False. Bigfile tablespaces are restricted to one data file (up to 128TB). Smallfile tablespaces (traditional) can have multiple data files (up to 1022), but the "all" phrasing makes this false due to bigfile exceptions.
Clarification:The question's intent may assume smallfile tablespaces, but Oracle 23ai supports both types.

NEW QUESTION # 15
......

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Max Ward Max Ward

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