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EMC D-DS-OP-23 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Deployment and Operationalization | 15% | - Model Deployment
|
| Topic 2: Data Engineering Pipeline Optimization | 25% | - Pipeline Design and Performance
|
| Topic 3: Data Preparation and Feature Engineering | 20% | - Feature Engineering Techniques
|
| Topic 4: Machine Learning Model Optimization | 25% | - Model Tuning and Evaluation
|
| Topic 5: Data Governance and MLOps | 15% | - Governance and Operations
|
EMC Dell Data Scientist and Data Engineering Optimize 2023 Sample Questions:
1. An organization has decided to structure their governance model to allow either a single individual or a team to control and maintain the master data.
Which governance model is being implemented?
A) Federated
B) Centralized
C) Distributed
D) Hybrid
2. What is a metadata management challenge?
A) Leveraging the information from distributed sources
B) Information sources are limited
C) Data corruption over time
D) Ensuring availability of source systems
3. Which Apache project focuses on managing and governing metadata for Hadoop ecosystems?
A) Apache HBase
B) Apache Atlas
C) Apache Ranger
D) Apache Hive
4. Which skill is crucial for a data engineer to effectively manage and optimize large-scale data processing systems?
A) Graphic design
B) Data analysis
C) Front-end development
D) Cloud computing
5. The penalty that the EU supervisory authority levies on an organization that fails to comply with the General Data Protection Regulation (GDPR) is the greater of 4% of total global annual turnover or revenue, or a fixed fine amount.
What is the fixed fine amount, in millions of Euros?
A) 20
B) 10
C) 40
D) 5
Solutions:
| Question # 1 Answer: B | Question # 2 Answer: A | Question # 3 Answer: B | Question # 4 Answer: D | Question # 5 Answer: A |




