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EMC D-DS-OP-23 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Data Science Foundations | - Data exploration and preprocessing - Statistical analysis and probability concepts - Feature engineering fundamentals |
| Topic 2: Machine Learning and Modeling | - Model evaluation and validation - Algorithm selection and tuning - Supervised and unsupervised learning |
| Topic 3: Optimization and Performance | - Optimization techniques for data workflows - Model performance tuning |
| Topic 4: Data Governance and Operations | - Data quality management - Lifecycle management of data solutions - Security and compliance considerations |
| Topic 5: Data Engineering Principles | - Data storage architectures (data lakes, warehouses) - Data pipeline design and orchestration - ETL/ELT processes |
EMC Dell Data Scientist and Data Engineering Optimize 2023 Sample Questions:
1. Which of the following are key roles in data governance? (Select all that apply)
A) Data Steward
B) Data Scientist
C) Data Analyst
D) Data Owner
E) Chief Information Officer (CIO)
2. Which of the following are components of the ETL process? (Select all that apply)
A) Loading
B) Extraction
C) Visualization
D) Transmission
E) Transformation
3. Which of the following are components of the Apache Spark Streaming architecture? (Select all that apply)
A) Discretized streams (DStreams)
B) Kafka topics
C) Driver node
D) Worker node
E) HDFS storage
4. What is the primary focus of the EdgeX Foundry architecture?
A) Quantum computing
B) Big data analytics
C) Cloud computing
D) Edge computing and IoT devices
5. In Python, which data type is one dimensional and immutable?
A) Array
B) Set
C) Tuple
D) List
Solutions:
| Question # 1 Answer: A,D,E | Question # 2 Answer: A,B,E | Question # 3 Answer: A,C,D | Question # 4 Answer: D | Question # 5 Answer: C |
