IBM 000-N38 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Installation and Configuration | - System setup
|
| Topic 2: Big Data and Hadoop Fundamentals | - Hadoop ecosystem concepts
|
| Topic 3: Security and Performance | - Performance tuning
|
| Topic 4: Data Processing and Analytics | - Data ingestion and processing
|
IBM InfoSphere BigInsights Technical Mastery Test v2 Sample Questions:
1. Which of the following options is NOT CORRECT?
A) Big data solutions are ideal for analyzing not only raw structured data, but semi structured and unstructured data from a wide variety ofsources.
B) Big data solutions are ideal for iterative and exploratory analysis when business measures on data are not predetermined.
C) Big data solutions are ideal for Online Transaction Processing (OLTP) environments.
D) Big data solutions are ideal when all, or most, of the data needs to be analyzed versus a sample of the data; or a sampling of data isn nearlyBig data solutions are ideal when all, or most, of the data needs to be analyzed versus a sample of the data; or a sampling of data isn? nearlyas effective as a larger set of data from which to derive analysis.
2. What does ig Data?represent?What does ?ig Data?represent?
A) A concept and platform of technologies with the characteristics of the ? Vs? that is able to handle large amounts of unstructured,semi-structured, and structured raw data unlike traditional systems.
B) Only data stored in the BIGDATA table in any relational database.
C) A database feature capable of converting pre-existing structured data into unstructured raw data.
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.
3. What is Hadoop?
A) Hadoop is a framework that allows for the distributed processing of large data sets across clusters of computers using a simple programming model.
B) Hadoop is programming language capable of transforming raw, unstructured data into plain, regular data readable by traditional data warehouses.
C) Hadoop is a single-node file system used as a base for storing traditional formatted data.
D) Hadoop is a universal Big Data programming language used to query large datasets.
4. Which of the following InfoSphere BigInsights features provides a vast library of extractors enabling actionable insights from large amounts of native textual data?
A) General Parallel File System.
B) Adaptive MapReduce.
C) BigSheets.
D) Text Analytics.
Solutions:
| Question # 1 Answer: C | Question # 2 Answer: A | Question # 3 Answer: A | Question # 4 Answer: D |
0 Customer Reviews
Quality and ValueITCertKing Practice Exams are written to the highest standards of technical accuracy, using only certified subject matter experts and published authors for development - no all study materials.
Tested and ApprovedWe are committed to the process of vendor and third party approvals. We believe professionals and executives alike deserve the confidence of quality coverage these authorizations provide.
Easy to PassIf you prepare for the exams using our ITCertKing testing engine, It is easy to succeed for all certifications in the first attempt. You don't have to deal with all dumps or any free torrent / rapidshare all stuff.
Try Before BuyITCertKing offers free demo of each product. You can check out the interface, question quality and usability of our practice exams before you decide to buy.
