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Data and AI: Questions Answers PDF

IBM  Data and AI Certification Questions Answers PDF

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Exam Code
Exam Name
Updated
Rating
C1000-193
IBM z/OS v3.x Administrator - Professional
February 10, 2026
4.67
C1000-173
IBM Cloud Pak for Data V4.7 Architect
February 9, 2026
5
A1000-123
Assessment: IBM Robotic Process Automation v20.12.x Developer
February 9, 2026
4.75
A1000-121
Assessment: IBM Datacap V9.1.8 Development
February 9, 2026
4.75
A1000-122
Assessment: Db2 12 for z/OS DBA Fundamentals
February 9, 2026
4.25
A1000-085
Assessment: IBM Netezza Performance Server V11.x Administrator
February 9, 2026
4.75
A1000-074
Assessment: IBM FileNet P8 V5.5.3 Deployment Professional
February 9, 2026
4.75
A1000-078
Assessment: IBM Db2 12 for z/OS Administrator
February 9, 2026
4
A1000-010
Assessment: IBM Operational Decision Manager Standard V8.9.1 Application Development
February 9, 2026
4.6
A1000-043
Assessment: IBM Blueworks Live and Business Automation Workflow Business Analyst v18
February 9, 2026
4.5
C1000-195
IBM Certified watsonx Governance Lifecycle Advisor v1 - Associate
February 9, 2026
4.67
C1000-178
IBM Cognos Analytics v12 Administrator - Professional
February 8, 2026
4.8
S2000-027
IBM Artificial Intelligence Fundamentals Specialty v1
February 7, 2026
4.75
C1000-191
IBM Certified Cognos Analytics v12 Analyst - Professional
February 7, 2026
5
C1000-154
IBM Watson Data Scientist v1
February 7, 2026
4.75
C1000-168
IBM Cloud Pak for Data v4.6 Administrator
February 7, 2026
4.5
C1000-201
IBM Business Automation Workflow v25.0.0 Developer - Professional
February 6, 2026
4.33
C1000-184
IBM Db2 13 for z/OS Database Administrator - Associate
February 6, 2026
4
C1000-181
IBM Db2 13 for z/OS Database Administrator - Professional
February 6, 2026
5
C1000-185
IBM watsonx Generative AI Engineer - Associate
February 5, 2026
4.4

More About Data and AI

Data and AI exams hold a crucial place in education and professional advancement, serving as assessments of Data and AI knowledge, skills, and competencies. They evaluate a student’s grasp of Data and AI course material and provide employers with a measure of a candidate’s suitability for a job. Effective exam preparation often involves the use of Data and AI practice test questions, but it’s essential to distinguish between legitimate practice resources and unauthorized exam dumps. Data and AI practice questions help students become familiar with exam formats, identify weak areas, and refine their test-taking strategies. However, relying on Data and AI  exam dumps, which often contain real Data and AI questions from past exams, can lead to ethical and legal issues, and they undermine the learning process. In summary, exams are significant for gauging competence, but preparation should focus on legitimate Data and AI practice resources to ensure genuine understanding and growth.