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Instant Download EMC : D-DS-OP-23 Questions & Answers as PDF & Test Engine
- Exam Code: D-DS-OP-23
- Exam Name: Dell Data Scientist and Data Engineering Optimize 2023
- Updated: Sep 19, 2026
- No. of Questions: 103 Questions and Answers
- Download Limit: Unlimited
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EMC D-DS-OP-23 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Data Governance and Operations | - Security and compliance considerations - Data quality management - Lifecycle management of data solutions |
| Topic 2: Data Engineering Principles | - ETL/ELT processes - Data storage architectures (data lakes, warehouses) - Data pipeline design and orchestration |
| Topic 3: Machine Learning and Modeling | - Algorithm selection and tuning - Supervised and unsupervised learning - Model evaluation and validation |
| Topic 4: Optimization and Performance | - Model performance tuning - Optimization techniques for data workflows |
| Topic 5: Data Science Foundations | - Data exploration and preprocessing - Feature engineering fundamentals - Statistical analysis and probability concepts |
EMC Dell Data Scientist and Data Engineering Optimize 2023 Sample Questions:
Which of the following describes Apache Flink?
- A. A batch processing engine
- B. A distributed file storage system
- C. A stream processing framework
- D. A graph processing framework
Correct Answer: C 🗳️
Which IoT data processing tool uses a storage abstraction called Stream for continuous and unbounded data?
- A. EdgeX Foundry
- B. Apache Storm
- C. Apache NiFi
- D. Pravega
Correct Answer: D 🗳️
Which of the following best describes the purpose of database normalization in a relational database schema?
- A. Reducing data redundancy
- B. Enforcing referential integrity
- C. Improving query performance
- D. Increasing data security
Correct Answer: A 🗳️
What enables Pravega to rapidly ingest streaming data into durable storage?
- A. Apache Spark
- B. Relational database schema
- C. Append-only logs
- D. MongoDB
Correct Answer: C 🗳️
Which NoSQL database type is most suitable for applications requiring high-speed, low-latency data retrieval based on simple lookups?
- A. Document store
- B. Column-family store
- C. Key-value store
- D. Time-series database
Correct Answer: C 🗳️
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