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EMC D-DS-OP-23 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Streaming & IoT Data Processing | 15% | - Pravega, Kafka, NiFi usage - Real-time ingestion frameworks - Stream processing optimization |
| Data Processing Frameworks | 22% | - Apache Spark optimization - Batch and real-time processing optimization - Hadoop ecosystem tuning |
| Data Pipeline Optimization | 20% | - Reduce latency and improve throughput - ETL/ELT workflow optimization - Design scalable and efficient data pipelines |
| Governance, Security & Compliance | 15% | - Security and privacy protection - Regulatory compliance - Data governance policies |
| Monitoring, Troubleshooting & Workload Management | 10% | - Bottleneck identification and resolution - Cluster resource allocation - Performance monitoring and logging |
| Storage & Data Management | 18% | - SQL/NoSQL performance tuning - Data formats, partitioning, and indexing - Distributed storage system optimization |
EMC Dell Data Scientist and Data Engineering Optimize 2023 Sample Questions:
1. Which tool provides fine-grained access control and security for Hadoop components?
A) Apache Ranger
B) Apache HBase
C) Apache Knox
D) Apache Atlas
2. What is an advantage of avoiding bias from the data?
A) Minimize Bias-Variance trade-off
B) Reduce misuse of data and facilitate its transparency
C) Decrease trust between humans and machines
D) Minimize transparency at the point of data collection
3. Which phase of a data analytics project involves data engineers extracting, transforming, and loading data from various sources into a centralized repository?
A) Data modeling
B) Data ingestion
C) Data visualization
D) Data exploration
4. What is the primary purpose of Apache Kafka in a data processing architecture?
A) Processing real-time data streams
B) Running machine learning algorithms
C) Running complex SQL queries
D) Storing historical data
5. Which of the following are components of the Apache Spark Streaming architecture? (Select all that apply)
A) HDFS storage
B) Driver node
C) Worker node
D) Discretized streams (DStreams)
E) Kafka topics
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: B | Question # 3 Answer: B | Question # 4 Answer: A | Question # 5 Answer: B,C,D |

1104 Customer Reviews 







Hogan -
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