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IBM Certified Data Architect - Big Data Certification Questions and Answers (Dumps and Practice Questions)



Question : You are working as a solution architect for creating a BigData solutions. You have implemented your solution and its in initial setup, which is being tested.
However, your administrator told you that, there is lot of congestion in network? How can he will be sure on this ?

  : You are working as a solution architect for creating a BigData solutions. You have implemented your solution and its in initial setup, which is being tested.
1. He had observed packet discards

2. Data scientists saw lot of warnings in their system logs

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4. By looking at traffic volume and rates

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Explanation: Packet LOSS can only be fixed by figuring out where the packets are being lost, and fixing it. In some cases, if network congestion gets severe, a packet
will get thrown away (lost) by a router en route to the destination.





Question : What is the most important aspect of data center disaster recovery?
  : What is the most important aspect of data center disaster recovery?
1. A complete damage assessment

2. Control of critical assets

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4. Protection of individual life

Correct Answer : Get Lastest Questions and Answer :
Explanation: Anyone's life is more important than anything else.




Question : You have been planning to use NoSQL databases like Cloudant, HBase , Cassandra or MongoDB etc. Being an solution architect, you know that, one of the following
requirement cannot be fulfilled by NoSQL

  : You have been planning to use NoSQL databases like Cloudant, HBase , Cassandra or MongoDB etc. Being an solution architect, you know that, one of the following
1. Scalability

2. Reporting

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4. Batch processing

Correct Answer : Get Lastest Questions and Answer :
Explanation: Yes, No SQL database is storage engine and not a processing engine. Hence, to have a Batch Processing solution for BigData , we should consider the
BigInsight.



Related Questions


Question : Which of the following can be achieved, using IBM SPSS tool



  : Which of the following can be achieved, using IBM SPSS tool
1. Statistical analysis and reporting

2. Predictive modeling and data mining

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4. Only 1 and 2

5. 1,2,3


Question : You are building an application, where you will be using existing data in your system and also you are getting real time data from one of the websites web server logs.
Which of the following tool will help you to get real time data output by combing both the existing data and real-time log data


  : You are building an application, where you will be using existing data in your system and also you are getting real time data from one of the websites web server logs.
1. BigSQL

2. Apche Spark

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4. Infosphere Stream



Question : A bigr.frame is an R object that mimics Rs own data.frame. However, unlike R, a bigr.frame does not load that data in memory as that would be impractical. The
data stays in HDFS. However, you will still be able to explore this data using the Big R API.

  : A bigr.frame is an R object that mimics Rs own data.frame. However, unlike R, a bigr.frame does not load that data in memory as that would be impractical. The
1. True
2. False


Question : Unless specified otherwise, Big R automatically assumes all data to be strings.
  : Unless specified otherwise, Big R automatically assumes all data to be strings.
1. True
2. False


Question : use of R as a query language for big data: Big R hides many of the complexities pertaining to the underlying Hadoop / MapReduce framework.

  : use of R as a query language for big data: Big R hides many of the complexities pertaining to the underlying Hadoop / MapReduce framework.
1. True
2. False


Question : You are working as a BigData Analytics , and you need to integrate IBM SPSS Modeler to use big data as a source for predictive modeling. Which of the following will
help to do this


  : You are working as a BigData Analytics , and you need to integrate IBM SPSS Modeler to use big data as a source for predictive modeling. Which of the following will
1. IBM Infospere

2. Big R

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4. IBM Big Integration Engine

5. IBM SPSS Analytic Server