Exam Format

• Exam Code: D-DS-OP-23
• Certification Level: Proven Professional
• Exam Duration: 90 minutes
• Passing Score: Not officially published by Dell (commonly estimated ~63%)
• Unscored Content: The exam may include unscored research questions that are not identified and do not affect your score.

Exam Details

• Question Types: Multiple choice, multiple answer, scenario-based questions
• Number of Questions: Approximately 60 questions
• Hands-On Questions: The exam evaluates conceptual and scenario-based understanding rather than live lab simulations.

Exam Policies

• Offline Proctoring: Must be canceled or rescheduled according to Pearson VUE policies (typically several days prior).
• Online Proctoring: Can be canceled before the scheduled session per provider rules.
• Waiting Period: Retake policies are governed by Dell and Pearson VUE procedures.
• Retake Fee: Full exam fee applies for each retake attempt.

Certification Validity and Renewal

• Validity: Dell Technologies Proven Professional certifications generally remain valid until updated or retired by Dell Technologies.
• Renewal Options: Recertify by passing a newer version of the exam, advancing to higher-level certifications, or completing approved continuing education activities per Dell’s credentialing policy.

Exam Fee

• Base Fee: Pricing varies by region and is set at the time of scheduling via Pearson VUE.
• Taxes: Country-specific VAT/GST may apply.
  . Example: In India, additional tax (e.g., ~18% GST) may be added to the base fee.

Official pricing should be verified at the time of booking on the Pearson VUE portal.

Prerequisites

•  Foundational knowledge of data analytics and big data processing
•  Understanding of SQL and NoSQL databases
•  Experience with distributed computing tools such as Hadoop and Spark
•  Familiarity with data governance, streaming technologies, and data pipelines

Exam Topics

• The Role of the Data Engineer: Responsibilities, skills, and value of data engineers.
• Data Warehousing with SQL and NoSQL: Relational and NoSQL database characteristics, normalization, performance, and use cases.
• ETL/ELT with Hadoop and Spark: Data ingestion, Hadoop ecosystem components, Spark architecture, and big data processing patterns.
• Data Governance, Security, and Privacy: Metadata management, governance models, security controls, and privacy frameworks.
• Processing Streaming & IoT Data: Real-time data processing frameworks like Kafka, Storm, Flink, and Spark Streaming.
• Building Data Pipelines with Python: Using Python and orchestration tools (e.g., Apache Airflow) for data pipeline design and best practices.

Intended Audience

•  Data Engineer
•  Big Data Engineer
•  Analytics Engineer
•  Data Platform Specialist
•  Data Integration Specialist

Career Impact

• Jobs You Can Get: Data Engineer, Big Data Engineer, Analytics Engineer, Data Platform Specialist, Business Intelligence (BI) Developer.
• Why It’s Valuable: This certification validates essential data engineering competencies in big data technologies, data pipelines, governance, and streaming analytics — skills that are highly sought after in modern data-driven enterprises.

Exam Mode

• In-person at authorized Pearson VUE test centres
• Online through Pearson VUE’s secure online proctoring system (OnVUE)

Exam Booking Link

Book your Dell Data Engineering 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 certification (PDF).
•  CertTracker link: https://www.dell.com/support/education-certification/certtracker

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