Exam Format

•  Exam Code: D-AA-OP-23
•  Certification Level: Proven Professional
•  Exam Duration: 90 minutes
•  Passing Score: Not officially published (commonly estimated around ~63%)
•  Unscored Content: May include unscored research questions that are not identified and do not affect the score.

Exam Details

•  Question Types: Multiple choice, multiple answer, and scenario-based questions
•  Number of Questions: Approximately 60 questions
•  Hands-On Questions: Focus is on theoretical and advanced analytics application questions rather than lab simulations.

Exam Policies

•  Offline Proctoring: Must be rescheduled or cancelled according to Pearson VUE policies (typically several days before exam).
•  Online Proctoring: Must be rescheduled or cancelled at least 30 minutes before scheduled session.
•  Waiting Period: Minimum waiting period before retaking a failed attempt is per Dell / Pearson VUE policies.
•  Retake Fee: Full exam fee must be paid for each retake.

Certification Validity and Renewal

•  Validity: Dell Technologies certifications generally remain valid until updated or retired by Dell.
•  Renewal Options: Recertify by passing a newer version of the exam, earning higher-level Proven Professional certifications, or completing Dell’s continuing education options (e.g., training, badges).

Exam Fee

•  Base Fee: Typically around $230 USD (pricing verified at time of exam scheduling).
•  Taxes: Country-specific VAT/GST may apply.
  . Example: In India, an ~18% GST would be added at checkout.

Note: Official pricing is confirmed at the time of booking via Pearson VUE.

Prerequisites

•  Foundational knowledge of data science concepts (e.g., statistics, data analytics lifecycle)
•  Familiarity with big data technologies and distributed computing tools
•  Practical experience with analytics frameworks and programming (e.g., Hadoop, MapReduce, Spark, Python)

Exam Topics

• MapReduce and Distributed Computing – Concepts and applications of the MapReduce model for large dataset processing
•  Hadoop Ecosystem & NoSQL – Components and tools in the Hadoop ecosystem and NoSQL database usage
•  Natural Language Processing (NLP) – Techniques for processing and understanding human language data
•  Social Network Analysis (SNA) – Methods for network structures and analysis using graph-based techniques
•  Data Science Theory & Methods – Advanced statistical and machine learning methods used in data science
•  Data Visualization – Techniques for communicating insights from complex datasets

Intended Audience

•  Data Scientist (Advanced)
•  Big Data Analyst
•  Machine Learning Specialist
•  Analytics Consultant
•  Data Engineer (Advanced Analytics Focus)

Career Impact

• Jobs You Can Get: Senior Data Scientist, Big Data Engineer, Analytics Specialist, Machine Learning Engineer, Data Research Scientist.
• Why It’s Valuable: This certification validates advanced analytics, distributed computing, NLP, and SNA skills, making candidates competitive for higher-level data science and analytics roles.

Exam Mode

• The exam is proctored and can be taken either:
• In-person at authorized Pearson VUE test centres
• Online through Pearson VUE’s secure proctoring (OnVUE) system

Exam Booking Link

Book your Dell Technologies Data Science Optimize exam via Pearson VUE: https://www.pearsonvue.com/us/en/dell.html

Once you pass the exam:

•  Your certification status will be updated in Dell CertTracker (typically within 24–48 hours).
•  Log in to CertTracker to download your certificate (PDF).
•  CertTracker link: https://www.dell.com/support/education-certification/certtracker

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