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EMC D-DS-OP-23 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Machine Learning and Modeling | - Supervised and unsupervised learning - Algorithm selection and tuning - Model evaluation and validation |
| Data Governance and Operations | - Security and compliance considerations - Data quality management - Lifecycle management of data solutions |
| Optimization and Performance | - Model performance tuning - Optimization techniques for data workflows |
| Data Engineering Principles | - ETL/ELT processes - Data storage architectures (data lakes, warehouses) - Data pipeline design and orchestration |
| Data Science Foundations | - Statistical analysis and probability concepts - Data exploration and preprocessing - Feature engineering fundamentals |
EMC Dell Data Scientist and Data Engineering Optimize 2023 Sample Questions:
1. Match each Apache Storm component with its description.
2. Which IoT data processing tool enables businesses to make real-time decisions to capitalize on the Analytics of Things (AoT)?
A) Apache Kafka
B) Apache NiFi
C) Nautilus
D) Pravega
3. What are two Spark libraries?
A) Spark NoSQL and GraphX
B) Spark SQL and GraphX
C) Spark SQL and RDD
D) Spark NoSQL and RDD
4. Which of the following best describes the purpose of database normalization in a relational database schema?
A) Increasing data security
B) Reducing data redundancy
C) Enforcing referential integrity
D) Improving query performance
5. What is a common use case for a document-based NoSQL database like MongoDB?
A) Managing hierarchical data
B) Performing complex SQL queries
C) Tracking real-time data streams
D) Storing structured tabular data
Solutions:
| Question # 1 Answer: Only visible for members | Question # 2 Answer: C | Question # 3 Answer: B | Question # 4 Answer: B | Question # 5 Answer: A |
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