Passed today with 85%.up to 10% new question. Read carefully as some the question in this dump has been reworded. Still valid.
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| Section | Weight | Objectives |
|---|---|---|
| Data Preparation and Feature Engineering | 20% | - Feature Engineering Techniques
|
| Data Engineering Pipeline Optimization | 25% | - Pipeline Design and Performance
|
| Machine Learning Model Optimization | 25% | - Model Tuning and Evaluation
|
| Data Governance and MLOps | 15% | - Governance and Operations
|
| Deployment and Operationalization | 15% | - Model Deployment
|
1. Match each Atlas feature with its description.
2. What is the primary storage system used by the Hadoop ecosystem?
A) Amazon S3
B) MongoDB
C) HDFS
D) Cassandra
3. What is the primary purpose of Apache Kafka in a data processing architecture?
A) Storing historical data
B) Running complex SQL queries
C) Processing real-time data streams
D) Running machine learning algorithms
4. 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) Regularly updating software and patches
C) Storing all data on public GitHub repositories
D) Multi-factor authentication
5. Match each data type with its corresponding Redis data structure.
Solutions:
| Question # 1 Answer: Only visible for members | Question # 2 Answer: C | Question # 3 Answer: C | Question # 4 Answer: A,B,D | Question # 5 Answer: Only visible for members |
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