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EMC D-DS-OP-23 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Machine Learning Model Optimization | 25% | - Model Tuning and Evaluation
|
| Data Governance and MLOps | 15% | - Governance and Operations
|
| Deployment and Operationalization | 15% | - Model Deployment
|
| Data Engineering Pipeline Optimization | 25% | - Pipeline Design and Performance
|
| Data Preparation and Feature Engineering | 20% | - Feature Engineering Techniques
|
EMC Dell Data Scientist and Data Engineering Optimize 2023 Sample Questions:
1. What is the main programming language supported by Apache Spark?
A) Python
B) Java
C) Ruby
D) C++
2. What type of expertise is required to be an effective data engineer?
A) Business analysis
B) Project management
C) Big Data tools
D) Accounting
3. Match each Apache Kafka component with its description.
4. An organization has implemented an IoT solution in their environment to gain competitive advantage.
This solution generates huge volumes of streaming data from different sources.
The organization wants to leverage this data to provide predictive, actionable results. They need a real- time data processing tool that can process the data using a fault-tolerant, horizontally scalable method.
Which tool should the organization use?
A) Apache Ambari
B) Apache Ranger
C) Apache Oozie
D) Apache Storm
5. What is the primary storage system used by the Hadoop ecosystem?
A) Amazon S3
B) HDFS
C) MongoDB
D) Cassandra
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: C | Question # 3 Answer: Only visible for members | Question # 4 Answer: D | Question # 5 Answer: B |
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