EMC D-DS-OP-23 Exam Overview:
| Certification Vendor: | Dell Technologies |
| Exam Name: | Dell Data Scientist and Data Engineering Optimize 2023 |
| Exam Number: | D-DS-OP-23 |
| Available Languages: | English |
| Exam Format: | Multiple Choice, Multiple Response |
| Real Exam Qty: | 60 |
| Exam Duration: | 90 minutes |
| Related Certifications: | Dell Data Scientist and Data Engineering Optimize |
| Exam Price: | $230 USD |
| Passing Score: | 63% |
| Sample Questions: | EMC D-DS-OP-23 Sample Questions |
| Exam Way: | Online proctored or authorized Dell Technologies testing center |
| Pre Condition: | Candidates should possess foundational knowledge of data science, machine learning, and data engineering concepts, along with practical experience using Dell Technologies data analytics solutions. |
| Official Syllabus URL: | https://education.dell.com/content/emc/en-us/home/certification-overview/find-exam/data-scientist-and-data-engineering-optimize.html |
EMC D-DS-OP-23 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Governance and MLOps | 15% | - Governance and Operations
|
| Topic 2: Data Engineering Pipeline Optimization | 25% | - Pipeline Design and Performance
|
| Topic 3: Machine Learning Model Optimization | 25% | - Model Tuning and Evaluation
|
| Topic 4: Deployment and Operationalization | 15% | - Model Deployment
|
| Topic 5: Data Preparation and Feature Engineering | 20% | - Feature Engineering Techniques
|
EMC Dell Data Scientist and Data Engineering Optimize 2023 Sample Questions:
1. What skill is essential for a data engineer to efficiently transform and clean raw data into usable formats?
A) Machine learning
B) Data visualization
C) Data warehousing
D) ETL (Extract, Transform, Load) processes
2. Why is Python commonly used for building data pipelines?
A) It requires compilation for execution
B) It has no libraries for data manipulation
C) It only supports batch processing
D) Its readability and extensive libraries
3. Which of the following are security considerations when using cloud services with Hadoop? (Select all that apply)
A) Data encryption in transit and at rest
B) Storing all data on public GitHub repositories
C) Multi-factor authentication
D) Regularly updating software and patches
4. What is metadata in the context of data governance?
A) Data about data
B) Data access logs
C) Data quality metrics
D) Data encryption keys
5. With Apache Kafka, what is an advantage of implementing the Publish/Subscribe messaging system over Point-to-Point messaging system?
A) Any message published to a topic is immediately received by all the subscribers to that topic
B) Messages stored are deduplicated automatically to increase the overall storage capacity of a topic
C) Any message published to a topic is received only by a few subscribers to that topic
D) Messages can be dynamically moved between topics to improve the overall throughput of the system
Solutions:
| Question # 1 Answer: D | Question # 2 Answer: D | Question # 3 Answer: A,C,D | Question # 4 Answer: A | Question # 5 Answer: A |
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