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Oracle 1Z0-182 Prüfungsplan:

Thema
Einzelheiten

Thema 1

• 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.

Thema 2

• 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).

Thema 3

• Managing Tablespaces and Datafiles: This section assesses the abilities of Storage Administrators in creating, modifying, and describing tablespaces. It also covers recognizing data storage requirements and understanding datafile placement for efficient storage management.

Thema 4

• Configuring Oracle Net Services: This section measures the skills of Network Administrators and Database Administrators in configuring Oracle Net Services. It includes identifying administration components, describing connection methods, and ensuring seamless communication between clients and databases.

Thema 5

• Managing Users, Roles, and Privileges: This domain evaluates the expertise of Security Administrators in implementing user security measures. It focuses on creating and managing users, roles, and privileges to ensure secure access to Oracle databases.

Thema 6

• 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.

Thema 7

• 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.

 

Oracle Database 23ai Administration Associate 1Z0-182 Prüfungsfragen mit Lösungen (Q34-Q39):

34. Frage
Which three statements are true about the tools used to configure Oracle Net Services?

• A. The lsnrctl utility requires a listener.ora file to exist before it is started.
• B. Enterprise Manager Cloud Control can be used to centrally configure listeners on any managed database server.
• C. Oracle Net Manager can be used to centrally configure listeners on any database server target.
• D. Oracle Net Manager can be used to locally configure naming methods on a database server.
• E. Enterprise Manager Cloud Control can be used to centrally configure net service names for any database server target.
• F. The Oracle Net Configuration Assistant is only used when running the Oracle installer.

Antwort: B,D,E

Begründung:
A .False. Net Manager is local, not centralized.
B .False. NetCA can run standalone.
C .True. EMCC manages service names centrally.
D .True. EMCC configures listeners on managed targets.
E .False. lsnrctl starts a default listener if no listener.ora exists.
F .True. Net Manager configures local tnsnames.ora.

 

35. Frage
Which two statements are true concerning logical and physical database structures?

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

Antwort: B,C

Begründung:
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.

 

36. Frage
Which two are benefits of external tables?

• A. They support UPDATEs, which transparently updates records in the file system as if they were table rows.
• B. They can be queried while the database is in the MOUNT state like dynamic performance views.
• C. They can be queried, transformed, and joined with other tables without having to load the data first.
• D. They support DELETEs, which transparently deletes records in the file system as if they were table rows.
• E. The results of a complex join or aggregating function or both can be unloaded to a file for transportation to other systems.

Antwort: C,E

Begründung:
A .False. External tables are read-only; no DELETE.
B .False. Require OPEN state, unlike V$ views.
C .False. No UPDATE support; read-only.
D .True. Queryable like regular tables without loading.
E .True. Data Pump can unload query results to files.

 

37. Frage
Which two actions can you perform using DBCA for an existing database?

• A. Change the server mode from dedicated to shared, and vice versa.
• B. Create nonstandard block size tablespaces.
• C. Change the character set.
• D. Create an additional listener.
• E. Create a template that can be used to clone the database.

Antwort: A,E

Begründung:
A .False. DBCA can't change character sets post-creation.
B .False. Listeners are managed via NetCA or lsnrctl.
C .True. DBCA can switch server modes for existing DBs.
D .False. Tablespaces are created via SQL, not DBCA for existing DBs.
E .True. DBCA can generate clone templates from existing DBs.

 

38. Frage
Which two AWR-based tools listed below are part of Oracle Database self-tuning components?

• A. Automatic population of performance views (V$ views) from statistical data stored in AWR repository and using Automatic Database Diagnostic.
• B. Automatic Application Tracing used to collect High-Load SQL statements and statistics.
• C. Automatic Application Tracing used to collect High-Load SQL statements and statistics.
• D. Automatic Diagnostic Collector used to capture and store database errors and hung analysis.
• E. ADDM, a server-based expert that reviews database performance statistics captured by Snapshots to identify potential problems before system performance degrades noticeably.
• F. Automatic capture of statistical information from the SGA and storing it in the AWR using Automatic Database Diagnostic.

Antwort: E,F

Begründung:
False. No "Automatic Application Tracing" exists as an AWR tool. SQL tracing (e.g., DBMS_MONITOR) is manual, and high-load SQL is captured by AWR indirectly via V$SQL snapshots, not a distinct tracing tool.
Why Incorrect:Conflates manual tracing with AWR's passive collection.
Explanation:
The Automatic Workload Repository (AWR) is a cornerstone of Oracle's self-tuning capabilities, collecting and storing performance statistics for analysis. Let's dissect each option:
A : Automatic capture of statistical information from the SGA and storing it in the AWR using Automatic Database Diagnostic.
True. AWR automatically captures statistics (e.g., wait events, SQL stats) from the System Global Area (SGA) via the MMON (Manageability Monitor) process, storing them in the AWR repository (in SYSAUX). This is part of the Automatic Database Diagnostic Monitor (ADDM) framework, though "Automatic Database Diagnostic" likely refers to this broader mechanism.
Mechanics:Snapshots are taken hourly by default (configurable via DBMS_WORKLOAD_REPOSITORY.MODIFY_SNAPSHOT_SETTINGS), persisting data like DBA_HIST_SYSSTAT for self-tuning analysis.
Practical Use:Enables historical performance tracking, feeding tools like ADDM and SQL Tuning Advisor.
Edge Case:If STATISTICS_LEVEL=BASIC, AWR collection is disabled, haltingself-tuning.
Historical Note:Introduced in 10g, enhanced in 23ai for finer granularity.
B : ADDM, a server-based expert that reviews database performance statistics captured by Snapshots to identify potential problems before system performance degrades noticeably.
True. The Automatic Database Diagnostic Monitor (ADDM) analyzes AWR snapshots to proactively detect issues (e.g., high CPU usage, I/O bottlenecks) and recommend fixes. It runs automatically after each snapshot in maintenance windows.
Mechanics:ADDM uses DBA_ADVISOR_FINDINGS to log issues, leveraging AWR data like DBA_HIST_SQLSTAT. Example: It might suggest adding an index for a slow query.
Practical Use:Prevents performance degradation in production systems by catching trends early.
Edge Case:Limited by snapshot frequency; real-time issues may need manual intervention.
C : Automatic Diagnostic Collector used to capture and store database errors and hung analysis.
False. No such tool exists as an "Automatic Diagnostic Collector" in AWR context. This likely confuses the Incident Packaging Service (IPS) or ADR (Automatic Diagnostic Repository), which handles errors but isn't AWR-based or self-tuning.
Why Incorrect:ADR collects trace files and logs, not AWR statistics, and isn't part of self-tuning.
D : Automatic population of performance views (V$ views) from statistical data stored in AWR repository and using Automatic Database Diagnostic.
False. V$ views (e.g., V$SESSION) are real-time memory structures in the SGA, not populated from AWR, which is historical (e.g., DBA_HIST_*). AWR doesn't back-feed V$ views; the reverse occurs via snapshots.
Why Incorrect:Misunderstands the data flow; AWR is a sink, not a source for V$ views.

 

39. Frage
......

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