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ADB Certification Exam 2025/2026 – 150+ Q&A | Oracle Cloud, ADB, ADW, Data Pump, SQL & REST APIs

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This document presents 150+ expertly verified questions and answers tailored for the ADB (Autonomous Database) Certification Exam 2025/2026, offering a comprehensive and exam-ready review of Oracle Cloud's autonomous technologies. Designed to align with Oracle’s evolving certification standards, it is ideal for candidates preparing for Oracle ADB/ADW cloud database roles and hands-on practical exams. The guide covers SQL DDL for schema changes, privileges for analytic views and hierarchies, and CLI/API operations for managing Autonomous Databases and Data Warehouses. It includes detailed workflows for provisioning, starting/stopping, scaling, and restoring ADB/ADW instances, using Data Pump and GoldenGate for data movement, and managing credentials, wallet files, and client connections. Also featured are core concepts like concurrency, parallel processing, JDBC/ODBC drivers, REST Data Services (ORDS), APEX, Oracle Machine Learning, and the Always Free resource restrictions. Perfect for: Students in Information Technology, Computer Science, Cloud Computing, Data Science, and Database Administration programs Professionals pursuing Oracle Cloud Infrastructure (OCI) certifications Entry-level and intermediate-level cloud database engineers, DBAs, and SQL developers Training courses at universities, technical colleges, and Oracle Academy-affiliated institutions Whether you're working with Oracle Autonomous Data Warehouse (ADW) or Autonomous Transaction Processing (ATP), this Q&A guide helps build real-world competency and test-day confidence. Keywords: ADB certification 2025, Oracle ADW, Oracle ATP, SQL DDL, Oracle Cloud wallet, analytic views, data pump, GoldenGate replication, REST API Oracle, DBMS_CLOUD, SQL Developer, JDBC proxy, Oracle APEX, ORDS, cloud data migration, parallel processing, Oracle OCI exam

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Uploaded on
November 26, 2025
Number of pages
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Written in
2025/2026
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ADB Certification 2025/2026 Exam
Questions and Verified Answers |
Already Graded A+



SQL DDL (Data Definition Language) - 🧠ANSWER ✔✔Change the

structure of the database schema in some way. Typically by creating,

deleting, or modifying schema objects such as databases, tables, and

views. Most DDL statements start with CREATE, DROP, or ALTER.

Statements for the Creation and Management of Analytic Views.


24.2 Privileges for Analytic Views - 🧠ANSWER ✔✔Describes the system

and object privileges available for analytic views, attribute dimensions, and

hierarchies

,Create Analytic View - 🧠ANSWER ✔✔Create an analytic view in the

grantee's schema


Create ANY Analytic View - 🧠ANSWER ✔✔Create analytic views in any

schema except SYS


Create Attribute Dimension - 🧠ANSWER ✔✔Create an attribute dimension

in the grantee's schema


Create ANY Attribute Dimension - 🧠ANSWER ✔✔Create attribute

dimensions in any schema except SYS


Create Hierarchy - 🧠ANSWER ✔✔Create a hierarchy in the grantee's

schema.


Create ANY Hierarchy - 🧠ANSWER ✔✔Create hierarchies in any schema

except SYS


Alter ANY Analytic View - 🧠ANSWER ✔✔Rename analytic views in any

schema except SYS


Alter ANY Attribute Dimension - 🧠ANSWER ✔✔Rename attribute

dimensions in any schema except SYS

, Alter ANY Hierarchy - 🧠ANSWER ✔✔Rename hierarchies in any schema

except SYS


Drop ANY Analytic View - 🧠ANSWER ✔✔Drop analytic views in any

schema except SYS


Drop ANY Attribute Dimension - 🧠ANSWER ✔✔Drop attribute dimensions

in any schema except SYS


Select ANY table - 🧠ANSWER ✔✔Query or view any analytic view or

hierarchy in any schema


Alter - 🧠ANSWER ✔✔Rename the analytic view, attribute dimension, or

hierarchy


Read - 🧠ANSWER ✔✔Query the object with the SELECT statement


Select - 🧠ANSWER ✔✔Query the object with the SELECT statement


Validate Analytic View/Hierarchy Object Procedures - 🧠ANSWER ✔✔Use

the DBMS-HIERARCHY package

*CREATE_VALIDATE_LOG_TABLE

*VALIDATE_ANALYTIC_VIEW



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