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IBM Certified Solution Architect – Cloud Pak for Data v4.x C1000-136 Free Practice Test

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Welcome to this free practice test. It’s designed to assess your current knowledge and reinforce your learning. Each time you start the test, you’ll see a new set of questions—feel free to retake it as often as you need to build confidence. If you miss a question, don’t worry; you’ll have a chance to revisit and answer it at the end.

Exam information

  • Exam title: IBM Certified Solution Architect – Cloud Pak for Data v4.x
  • Exam code: C1000-136
  • Price: USD 200 (may vary by region)
  • Delivery methods:
    • In-person at Pearson VUE testing centers
    • Online with remote proctoring via Pearson VUE

Exam structure

  • Number of questions: 60
  • Question types: multiple-choice, multiple-response, and case studies
  • Duration: 90 minutes
  • Passing score: 70 out of 100

Domains covered

  1. Data Collection and Management (20 – 25 %)
  2. Data Governance and Security (15 – 20 %)
  3. Data Analysis and Visualization (30 – 35 %)
  4. Modeling and Deployment (20 – 25 %)

Recommended experience

  • Two to three years of experience in data architecture and analytics
  • Familiarity with data science methodologies and tools
  • Experience with IBM Cloud Pak for Data and related technologies

NOTICE: All practice tests offered by Vision Training Systems are intended solely for educational purposes. All questions and answers are generated by AI and may occasionally be incorrect; Vision Training Systems is not responsible for any errors or omissions. Successfully completing these practice tests does not guarantee you will pass any official certification exam administered by any governing body. Verify all exam code, exam availability  and exam pricing information directly with the applicable certifiying body.Please report any inaccuracies or omissions to customerservice@visiontrainingsystems.com and we will review and correct them at our discretion.

All names, trademarks, service marks, and copyrighted material mentioned herein are the property of their respective governing bodies and organizations. Any reference is for informational purposes only and does not imply endorsement or affiliation.

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Frequently Asked Questions

What topics are covered in the IBM Certified Solution Architect – Cloud Pak for Data v4.x exam?

The IBM Certified Solution Architect – Cloud Pak for Data v4.x exam covers several key domains essential for effective data management and analytics. The primary topics include Data Collection and Management (20–25%), which focuses on the strategies for gathering and organizing data efficiently. Data Governance and Security (15–20%) emphasizes the policies and practices necessary to protect data integrity and compliance.

Additionally, Data Analysis and Visualization (30–35%) explores techniques for interpreting data and presenting it in meaningful ways, while Modeling and Deployment (20–25%) addresses the implementation of data models to solve business problems. A solid understanding of these areas is crucial for passing the exam and succeeding in real-world applications.

What is the passing score for the IBM Certified Solution Architect – Cloud Pak for Data v4.x exam?

The passing score for the IBM Certified Solution Architect – Cloud Pak for Data v4.x exam is set at 70 out of 100. This means that candidates must answer at least 70% of the questions correctly to achieve certification. The exam consists of 60 questions, which may include multiple-choice, multiple-response, and case study formats.

To prepare effectively, candidates should focus on understanding the exam domains and practicing with relevant materials. Achieving a passing score not only validates one’s knowledge but also enhances career opportunities in the field of data architecture and analytics.

What is the recommended experience for taking the IBM Certified Solution Architect exam?

For individuals considering the IBM Certified Solution Architect – Cloud Pak for Data v4.x exam, it is recommended to have two to three years of experience in data architecture and analytics. This experience provides a solid foundation in understanding complex data environments and the necessary methodologies.

Additionally, familiarity with data science tools and techniques, as well as hands-on experience with IBM Cloud Pak for Data, is essential. This background ensures that candidates can effectively navigate the exam content and apply their knowledge in practical scenarios, making them well-equipped for the certification.

What types of questions can candidates expect on the exam?

Candidates taking the IBM Certified Solution Architect – Cloud Pak for Data v4.x exam can expect a variety of question types designed to assess their knowledge and practical skills. The exam features multiple-choice questions, which require selecting the correct answer from given options, as well as multiple-response questions, where candidates must identify several correct answers.

Additionally, case studies are included to evaluate a candidate's ability to apply their knowledge to real-world scenarios. This combination of question types ensures a comprehensive assessment of a candidate's understanding and readiness for roles involving data architecture and analytics.

How does the IBM Certified Solution Architect certification benefit professionals in their careers?

The IBM Certified Solution Architect – Cloud Pak for Data certification offers numerous benefits to professionals in the field of data analytics and architecture. Achieving this certification demonstrates a validated level of expertise in using IBM Cloud Pak for Data, which is highly regarded in the industry.

Certified professionals are often viewed as more credible by employers, increasing their chances of career advancement and opportunities for higher salaries. Additionally, the certification equips individuals with the skills needed to effectively manage data-driven projects, making them valuable assets to their organizations. This certification can also enhance networking opportunities within professional communities focused on data science and analytics.

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