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EMC D-DS-OP-23 Exam Syllabus Topics:
| Section | Weight | Objectives |
| Topic 1: Data Pipeline Optimization | 20% | - Design scalable and efficient data pipelines
- Reduce latency and improve throughput
- ETL/ELT workflow optimization
|
| Topic 2: Storage & Data Management | 18% | - Distributed storage system optimization
- SQL/NoSQL performance tuning
- Data formats, partitioning, and indexing
|
| Topic 3: Governance, Security & Compliance | 15% | - Regulatory compliance
- Data governance policies
- Security and privacy protection
|
| Topic 4: Data Processing Frameworks | 22% | - Apache Spark optimization
- Batch and real-time processing optimization
- Hadoop ecosystem tuning
|
| Topic 5: Monitoring, Troubleshooting & Workload Management | 10% | - Bottleneck identification and resolution
- Performance monitoring and logging
- Cluster resource allocation
|
| Topic 6: Streaming & IoT Data Processing | 15% | - Real-time ingestion frameworks
- Pravega, Kafka, NiFi usage
- Stream processing optimization
|
EMC Dell Data Scientist and Data Engineering Optimize 2023 Sample Questions:
1. What is a difference between Data Governance and Master Data Management (MDM)?
A) Data governance focuses mainly on IT practices.
MDM creates the rules and decisions for operational data processes.
B) Data Governance is a formalized system of decision making.
MDM is a comprehensive method to link all data elements to a common point of reference.
C) Data governance is an informal system of decision making.
MDM is a formal system of decision making.
D) Data governance implementation involves people, policies, rules, and metrics.
MDM is done automatically with no interference.
2. Which tool builds batch processing as a special case of stream data processing?
A) Apache Spark
B) Apache Flink
C) Apache Hive
D) Apache Oozie
3. What is a challenge of managing data pipelines?
A) Making the data volume consistent, or at least easily predictable
B) Ensuring that proper backups are available in the event of a data corruption
C) Monitoring is simply accomplished by the end users reporting any data quality issues
D) Guaranteeing there is no personally identifiable information in the extracted data
4. What is the data governance role that leverages the data for business purposes, such as increasing sales or reducing manufacturing costs?
A) End user
B) Security specialist
C) Data steward
D) Data custodian
5. In a data analytics project, what is the primary responsibility of a data engineer?
A) Building data pipelines and ETL processes
B) Conducting statistical analysis
C) Designing machine learning models
D) Creating data visualizations
Solutions:
Question # 1 Answer: B | Question # 2 Answer: B | Question # 3 Answer: B | Question # 4 Answer: A | Question # 5 Answer: A |