Amazon AWS-Certified-Big-Data-Specialty Exam Prep Course (Premium File)
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Last updated on Jun 17, 2026

 AWS-Certified-Big-Data-Specialty Practice Exam
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Last Updated: 17-Jun-2026
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Preparing and Passing the Amazon AWS-Certified-Big-Data-Specialty Exam

If you are looking to validate your expertise in handling big data solutions on the Amazon Web Services (AWS) platform, the AWS Certified Big Data - Specialty exam is an excellent choice. This certification demonstrates your proficiency in designing and implementing scalable, secure, and reliable big data solutions using AWS technologies. In this article, we will guide you through the process of preparing for and successfully passing the AWS Certified Big Data - Specialty exam.

About the AWS Certified Big Data - Specialty Exam

The AWS Certified Big Data - Specialty exam is designed for individuals who have a strong understanding of big data technologies and their implementation on AWS. It validates your knowledge of AWS services relevant to big data, such as Amazon S3, Amazon Redshift, Amazon EMR, AWS Glue, and more. This certification is suitable for data engineers, data architects, and professionals working with big data analytics.

Here are some essential details about the AWS Certified Big Data - Specialty exam:

  • Exam Code: AWS-Certified-Big-Data-Specialty
  • Exam Duration: 170 minutes
  • Exam Format: Multiple-choice and multiple-response questions
  • Passing Score: 750 out of 1000
  • Exam Cost: $300 (subject to change, please refer to the official AWS website for the latest pricing)

Preparing for the Exam

To increase your chances of success, it's important to have a well-structured study plan. Here are some actionable tips to help you prepare for the AWS Certified Big Data - Specialty exam:

  1. Review the Exam Guide: Start by downloading the official exam guide provided by AWS. It outlines the exam objectives, recommended resources, and sample questions. Familiarize yourself with the topics and skills that will be tested.
  2. Expand Your Knowledge: Gain a deep understanding of big data technologies and AWS services. Study relevant documentation, whitepapers, and AWS user guides. Explore AWS Big Data Analytics services, AWS data lake architecture, data warehousing concepts, and data security best practices.
  3. Hands-on Experience: Practice using AWS services for big data analytics. Create and configure Amazon S3 buckets, set up Amazon Redshift clusters, launch Amazon EMR instances, and perform data transformations with AWS Glue. Hands-on experience will solidify your understanding of the concepts and help you navigate the exam scenarios more effectively.
  4. Training Courses: Enroll in AWS training courses designed specifically for the AWS Certified Big Data - Specialty exam. These courses provide structured learning materials, hands-on labs, and practice exams to reinforce your knowledge and test your skills.
  5. Practice Exams: Utilize practice exams to assess your readiness for the actual test. These exams simulate the real exam environment and help you identify areas where you need to improve. Review the explanations for correct and incorrect answers to enhance your understanding.
  6. Join Study Groups: Engage with fellow learners and professionals studying for the same exam. Participate in discussion forums, study groups, or AWS user groups. Sharing knowledge and experiences can provide valuable insights and support during your preparation.

Registering and Taking the Exam

Once you feel confident in your preparation, it's time to register and schedule your AWS Certified Big Data - Specialty exam. Follow these steps:

  1. Create an AWS Certification Account: If you don't have one already, create an account on the AWS Training and Certification portal.
  2. Schedule the Exam: Select a convenient date and time for your exam. You can choose to take the exam at a physical testing center or online from the comfort of your home or office.
  3. Exam Readiness: Before the exam day, ensure your computer or testing device meets the technical requirements for online proctoring, if applicable. Familiarize yourself with the exam format and review the exam-day policies and procedures provided by AWS.
  4. Exam Day: On the exam day, log in to your AWS Certification Account and launch the exam at the scheduled time. Follow the instructions provided to complete the exam within the allotted time.
  5. Exam Results: After completing the exam, you will receive your results immediately. If you pass, you will receive your AWS Certified Big Data - Specialty certification. In case you don't pass, don't be discouraged. Use the exam feedback report to identify your weak areas and further improve your knowledge before attempting again.

Conclusion

The AWS Certified Big Data - Specialty exam is a valuable certification that showcases your expertise in implementing big data solutions on the AWS platform. By following a structured study plan, gaining hands-on experience, and utilizing available resources, you can increase your chances of success in this exam. Remember to stay up-to-date with the latest AWS services and best practices as the exam content may evolve over time. Good luck with your exam preparation and future endeavors in the field of big data!

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https://docs.microsoft.com/en-us/windows-server/identity/ad-ds/plan/delegating-administration-of-account-ousand-resource-ous
The link explains how to delegate administration in AD DS using the Delegation of Control Wizard, scoped to an OU or domain. It supports the principle of least privilege by letting you grant specific tasks only to a limited scope (e.g., an OU) rather than broad admin rights.
How it applies to your scenario:

  • To let User1 manage the membership of all groups in Contoso\OU3, you should create a delegation on OU3.
  • This keeps privileges tightly scoped to OU3, avoiding broader access.

Key steps (brief):
  • Open Active Directory Users and Computers (ADUC).
  • Right-click OU3 ? Delegate Control.
  • Add User1 (or a dedicated group) as the delegate.
  • Choose the specific task(s) you want to allow (e.g., manage group membership) or create a custom task restricted to OU3.
  • Complete the wizard; verify that the delegation applies only to OU3 and its subobjects.

If you want, I can outline the exact wizard options for this scenario.

Monroe, United States

VirtuLearn AI

Question 3:
Question 3 shows a typo. The calculation should be x = 40/3, not 131/3.

  • Setup: 3 eggs are needed per 1 pound, so eggs = 3 × pounds ? 3x = 40.
  • Solve: x = 40/3 ˜ 13.333 pounds (13 1/3 pounds).

Since the options are whole numbers, the closest whole number is 13 pounds. The exact value is 13 1/3 pounds, but the provided answer choice is 13 (Option B).

Canal Winchester, United States

VirtuLearn AI

Question 602:
Answer: D – Decommissioning an application.

  • A one-time risk assessment is used for unique lifecycle events, such as retiring or decommissioning an application. It evaluates potential security or compliance impacts before the system is removed from service.
  • The other options describe ongoing or repeated activities:
- Quantifying an annual loss expectancy is part of continuous risk management. - Updating the risk register periodically is an ongoing governance task. - Complying with a regulation is an ongoing requirement.
Key concept: One-time risk assessments target a specific, finite event (example: decommissioning) rather than repeated operations.

Makati City, Philippines

VirtuLearn AI

explain me the differences between the compliance based approach and the scenario based approach

  • Definition
- Compliance-based approach: Establishes a security baseline from obligations (legal/regulatory/contractual) to address common, accidental, or environmental risks by default. - Scenario-based approach: Builds risk scenarios around risk origins and objectives to explore targeted, intentional threats and their paths (strategic/operational).
  • Focus
- Compliance: What must be covered by law, contracts, or standards; ensures a minimum, uniform control set. - Scenario-based: What attackers might do to achieve objectives; focuses on sophisticated, context-specific threats.
  • Outputs
- Compliance: A security baseline that addresses baseline risks and obligations; simplifies governance and responsibility sharing. - Scenario-based: Risk origins, target objectives, strategic and operational scenarios, and a remediation/treatment plan.
  • Use in process
- Compliance: Often the starting point to quickly establish a defensible baseline. - Scenario-based: Follows or overlays the baseline to identify gaps and prioritize actions against targeted threats.
  • Interaction
- They are complementary: start with the baseline (compliance), then apply scenario analysis to address gaps and prioritize risk treatment.
  • Strengths and limits
- Compliance: Fast, provides a clear baseline; may miss sophisticated or context-specific threats.

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Question 3:

  • Correct answer: Create new business and operating models to address the specific requirements of the new market. (Option B)

  • Why this is best:
- The new market has strict data-handling regulations. To meet demand while staying compliant, you need to redesign how you deliver value—this includes governance, processes, roles, data flows, and technology. In ITIL 4 terms, this is updating the operating model to fit the regulatory context and customer needs.
  • Why not the others:
- A: More resources help delivery but don’t address regulatory compliance or the required operating changes. - C: Replacing offerings is heavy-handed and may be unnecessary if existing services can be adapted within a new operating model. - D: Copying the current model ignores the new r

United States

tibor

in question 128 A and B are same and equivalent. Only difference is line breaks. Please revise and correct the questions and or answers.

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Bella Pierson

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