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IBM 000-N32 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Data Processing & Analytics | - Data Processing Frameworks
|
| Big Data Fundamentals | - Core Big Data Concepts
|
| Data Management | - Data Storage and Warehousing
|
| Big Data Applications | - Industry Use Cases
|
IBM Big Data Fundamentals Technical Mastery Test v1 Sample Questions:
Hadoop environments are optimized for:
- A. Processing transactions (random access).
- B. Batch processing on large files.
- C. Low latency data access.
- D. Intensive calculation with little data.
Correct Answer: B 🗳️
What is good fit for Hadoop Distributed File System (HDFS)?
- A. Applications requiring low latency data access.
- B. Applications requiring high throughput of data.
- C. Lots of small files.
- D. Multiple writers accessing the same file.
Correct Answer: B 🗳️
Which of the following options are CORRECT (Choose two)?
- A. Users can deploy existing data mining scoring models in Streams applications for real time insights as opposed to running those models on persistent, or stored data.
- B. Users can develop Streams applications using Data Studio Web Console, an Eclipse-based Integrated Development Environment (IDE).
- C. InfoSphere Streams perform complex analytics on data at rest.
- D. The Stream Processing Language provides a language that works with the Streams run-time framework to support streaming applications.
Correct Answer: A,D 🗳️
What does ?Big Data? represent?
- A. A database feature capable of converting pre-existing structured data into unstructured raw data.
- B. Large amounts of unstructured, semi-structured, and structured raw data that cannot be stored, processed or analyzed using traditional relational data warehouses.
- C. Only data stored in the BIGDATA table in any relational database.
- D. A Hadoop feature capable of processing vast amounts of data in-parallel on large clusters of commodity hardware in a reliable, fault-tolerant manner.
Correct Answer: B 🗳️
