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EMC D-DS-OP-23 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Data Preparation and Feature Engineering | 20% | - Feature Engineering Techniques
|
| Machine Learning Model Optimization | 25% | - Model Tuning and Evaluation
|
| Data Governance and MLOps | 15% | - Governance and Operations
|
| Data Engineering Pipeline Optimization | 25% | - Pipeline Design and Performance
|
| Deployment and Operationalization | 15% | - Model Deployment
|
EMC Dell Data Scientist and Data Engineering Optimize 2023 Sample Questions:
Question #1
Which of the following are data pipeline best practices? (Select all that apply)
A. Using a single tool for all pipeline components
B. Avoiding error handling and monitoring
C. Ensuring data quality and validation
D. Using a monolithic design for simplicity
Question #2
Which tool builds batch processing as a special case of stream data processing?
A. Apache Flink
B. Apache Oozie
C. Apache Spark
D. Apache Hive
Question #3
Which of the following are components of the Apache Spark Streaming architecture? (Select all that apply)
A. Discretized streams (DStreams)
B. HDFS storage
C. Kafka topics
D. Worker node
E. Driver node
Question #4
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. Hybrid
C. Distributed
D. Centralized
Question #5
Match each Apache Storm component with its description.
Solutions:
| Question #1 Correct Answer: C | Question #2 Correct Answer: A | Question #3 Correct Answer: A,D,E | Question #4 Correct Answer: D | Question #5 Correct Answer: Only visible for members |


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