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IBM Big Data Architect (C2090-102) Certification | Start Your Preparation

Click Here---> http://bit.ly/2KHfzLn <---Get complete detail on C2090-102 exam guide to crack IBM Big Data Architect. You can collect all information on C2090-102 tutorial, practice test, books, study material, exam questions, and syllabus. Firm your knowledge on IBM Big Data Architect and get ready to crack C2090-102 certification. Explore all information on C2090-102 exam with number of questions, passing percentage and time duration to complete test.

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IBM Big Data Architect (C2090-102) Certification | Start Your Preparation

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  1. How to Prepare for IBM Big Data Architect C2090-102 Certification? C2090-102 Certification Made Easy with AnalyticsExam.com.

  2. IBM C2090-102 Exam Summary: IBM Certified Data Architect - Big Data Exam Name C2090-102 Exam Code 55 No. of Questions 60% Passing Score 90 minutes Time Limit $200 (USD) Exam Fees IBM Big Data Architect Certification Practice Exam Online Practice Test IBM Big Data Architect Certification Sample Question Sample Questions Rise & Shine with AnalyticsExam.com

  3. IBM Big Data Architect Syllabus Content: Syllabus Topics: Requirements (16%) Use Cases (46%) Applying Technologies (16%) Recoverability (11%) Infrastructure (11%) Rise & Shine with AnalyticsExam.com

  4. IBM Big Data Architect Training: Recommended Training: BigInsights Analytics for Programmers Rise & Shine with AnalyticsExam.com

  5. Tips to Prepare for C2090-102 ● Understand the all Syllabus Topics. ● Perform IBM Big Data Architect online test at AnalyticsExam.com. ● Identify your weak areas from IBM Big Data Architect mock test and asses yourself frequently. Rise & Shine with AnalyticsExam.com

  6. IBM C2090-102 Sample Questions Rise & Shine with AnalyticsExam.com

  7. Que.: 1: Which of the following is a requirement for data retention and archival? Options: a) A format and storage repository for archived data b) Public cloud c) Hosting location d) Solid-state technology Rise & Shine with AnalyticsExam.com

  8. Answer: a) A format and storage repository for archived data Rise & Shine with AnalyticsExam.com

  9. Que.: 2: The AQL query language is the easiest and most flexible tool to pull structured output from which of the following? Options: a) Hive data structures b) Unstructured text c) Hbase schemas d) JDBC connected relational data marts Rise & Shine with AnalyticsExam.com

  10. Answer: a) Hive data structures Rise & Shine with AnalyticsExam.com

  11. Que.: 3: Which of the following statements is TRUE regarding cloud computing solutions? Options: a) Cloud security is planned, developed, and layered on top of an application after the application development process is complete b) Stateless applications are better candidates for cloud services than applications that maintain state c) Cloud solutions rely on scaling up (vertical) scaling vs. scale out (horizontal) scaling d) Server virtualization is a requirement in a cloud implementation Rise & Shine with AnalyticsExam.com

  12. Answer: d) Server virtualization is a requirement in a cloud implementation Rise & Shine with AnalyticsExam.com

  13. Que.: 4: In designing a new Hadoop system for a customer, the option of using SAN versus DAS was brought up. Which of the following would justify choosing SAN storage? Options: a) SAN storage provides better performance than DAS b) SAN storage reduces and removes a lot of the HDFS complexity and management issues c) SAN storage removes the Single Point of Failure for the NameNode d) SAN storage supports replication, reducing the need for 3-way replication Rise & Shine with AnalyticsExam.com

  14. Answer: d) SAN storage supports replication, reducing the need for 3-way replication Rise & Shine with AnalyticsExam.com

  15. Que.: 5: Faced with a wide area network implementation, you have a need for asynchronous remote updates. Which one of the following would best address this use case? Options: a) GPFS Active File Management allows data access and modifications even when remote storage cluster is unavailable b) HDFS Cluster rebalancing is compatible with data rebalancing schemes. A scheme might automatically move data from one DataNode to another if the free space on a DataNode falls below a certain threshold c) GPFS File clones can be created from a regular file or a file in a snapshot using the mmclone command d) HDFS NameNode The NameNode keeps an image of the entire file system namespace and file Blockmap in memory. This key metadata item is designed to be compact, such that a NameNode with 4 GB of RAM is plenty to support a huge number of files and directories Rise & Shine with AnalyticsExam.com

  16. Answer: c) GPFS File clones can be created from a regular file or a file in a snapshot using the mmclone command Rise & Shine with AnalyticsExam.com

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