EMC Dell Data Scientist and Data Engineering Optimize 2023 : D-DS-OP-23 exam

EMC D-DS-OP-23 Actual PDF
  • Exam Code: D-DS-OP-23
  • Exam Name: Dell Data Scientist and Data Engineering Optimize 2023
  • Updated: Jul 28, 2026
  • Q & A: 103 Questions and Answers
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About EMC Dell Data Scientist and Data Engineering Optimize 2023 : D-DS-OP-23 Exam

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EMC D-DS-OP-23 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Data Processing Frameworks22%- Apache Spark optimization
- Batch and real-time processing optimization
- Hadoop ecosystem tuning
Topic 2: Governance, Security & Compliance15%- Security and privacy protection
- Data governance policies
- Regulatory compliance
Topic 3: Storage & Data Management18%- Data formats, partitioning, and indexing
- Distributed storage system optimization
- SQL/NoSQL performance tuning
Topic 4: Data Pipeline Optimization20%- Reduce latency and improve throughput
- ETL/ELT workflow optimization
- Design scalable and efficient data pipelines
Topic 5: Monitoring, Troubleshooting & Workload Management10%- Performance monitoring and logging
- Cluster resource allocation
- Bottleneck identification and resolution
Topic 6: Streaming & IoT Data Processing15%- Pravega, Kafka, NiFi usage
- Real-time ingestion frameworks
- Stream processing optimization

EMC Dell Data Scientist and Data Engineering Optimize 2023 Sample Questions:

1. What is a characteristic of Pig?

A) Performs real-time reads and writes in HDFS
B) Data warehouse infrastructure that manages jobs in the cluster
C) Uses HiveQL to translate SQL queries into MapReduce jobs
D) Alternative language to Java programming for MapReduce


2. Which layer in the EdgeX Foundry architecture provides a REST API that enables clients to establish new requests?

A) Core Services
B) Support Services
C) Application/Export Services
D) Device Services


3. Match each data type with its corresponding Redis data structure.


4. What skill is essential for a data engineer to efficiently transform and clean raw data into usable formats?

A) Machine learning
B) ETL (Extract, Transform, Load) processes
C) Data warehousing
D) Data visualization


5. Match each Apache Storm component with its description.


Solutions:

Question # 1
Answer: D
Question # 2
Answer: C
Question # 3
Answer: Only visible for members
Question # 4
Answer: B
Question # 5
Answer: Only visible for members

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