Download IBM.C2090-102.TestKing.2018-08-07.30q.vcex

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Exam IBM Big Data Architect
Number C2090-102
File Name IBM.C2090-102.TestKing.2018-08-07.30q.vcex
Size 21 KB
Posted Aug 07, 2018
Download IBM.C2090-102.TestKing.2018-08-07.30q.vcex

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Demo Questions

Question 1

As an Independent Software Vendor (ISV), you are tasked with creating a solution to harness the big data to better understand customer sentiments around your 
client’s product. In order to develop a solution, you want to select the software components that are going to provide the most compatibility with new open source 
components. In addition to Hadoop and any other software components you may need, which one of the following would you select that is part of the initial release 
of the Open Data Platform (ODP)? 


  1. Spark
  2. Ambari
  3. Hive
  4. HBase
Correct answer: B
Explanation:
References:http://hortonworks.com/innovation/open-data-platform/
References:
http://hortonworks.com/innovation/open-data-platform/



Question 2

As data architect, understanding where patient data resides, how is it related, and how you define security and privacy policies requires knowledge of each of the following?


  1. PII Data
  2. HIPAA Requirements
  3. Privacy by design
  4. Data storage in HDFS
Correct answer: B



Question 3

Which of the following is true about Cloudant?


  1. It is a byte-value store
  2. It is available as a database-as-a-service (DBaaS)
  3. It runs remotely in the cloud and not on a local system
  4. It offers SQL access to data
Correct answer: B
Explanation:
References:http://www-01.ibm.com/software/data/cloudant/
References:
http://www-01.ibm.com/software/data/cloudant/



Question 4

Which of the following statements is TRUE regarding cloud based solutions?


  1. In a Platform as a Service Cloud deployment, the customer chooses the operating system they want to use
  2. Automated recovery from hardware or network failures is not possible in a public cloud implementation, only in a private clouds
  3. There are benefits to use the cloud even for small-scale applications
  4. Using firewalls to create network boundaries is sufficient for ensuring cloud security
Correct answer: C
Explanation:
References:http://www.ibm.com/developerworks/cloud/library/cl-cloudappdevelop/
References:
http://www.ibm.com/developerworks/cloud/library/cl-cloudappdevelop/



Question 5

SPSS and BigInsights integration is enabled by which of the following? 


  1. SPSS Analytic Server
  2. InfoSphere DataStage
  3. SPSS Modeler
  4. SPSS Collaboration & Deployment Services
Correct answer: A
Explanation:
References:http://www.ibm.com/developerworks/library/bd-spss/
References:
http://www.ibm.com/developerworks/library/bd-spss/



Question 6

Which one of the following statements about Big SQL is NOT TRUE?


  1. BIG SQL supports querying data but doesn’t support updates and deletes
  2. BIG SQL is ANSI 2011 Compliant
  3. BIG SQL is supported to work with Cloudera
  4. BIG SQL supports Fluid Query
Correct answer: A
Explanation:
References:http://www.ibm.com/developerworks/library/bd-bigsql/
References:
http://www.ibm.com/developerworks/library/bd-bigsql/



Question 7

A component of IBM Industry Model forms the basis of the “Logical Data Warehouse Model” that spans across the traditional RDBMS and Hadoop technology. It 
defines all of the data structures that would be expected to be defined in the Detailed System of Record. What is the name of this component? 


  1. Business data model
  2. Atomic warehouse model
  3. Dimensional warehouse models
  4. Metadata management
Correct answer: A
Explanation:
References:http://www.ibm.com/support/knowledgecenter/SS9NBR_9.1.0/com.ibm.ima.using/comp/bdm/intro.dita
References:
http://www.ibm.com/support/knowledgecenter/SS9NBR_9.1.0/com.ibm.ima.using/comp/bdm/intro.dita



Question 8

Which of the following statements regarding Big R is TRUE?


  1. The Big R API is completely identical to the R API
  2. Big R implements an interpreted computer language
  3. Big R users cannot access Big R capabilities from the standard RStudio client as RStudio is not Hadoop enabled
  4. Big R utilizes the big SQL query engine for processing
Correct answer: D
Explanation:
References:https://www.ibm.com/support/knowledgecenter/SSPT3X_3.0.0/com.ibm.swg.im.infosphere.biginsights.bigr.doc/doc/intro.html
References:
https://www.ibm.com/support/knowledgecenter/SSPT3X_3.0.0/com.ibm.swg.im.infosphere.biginsights.bigr.doc/doc/intro.html



Question 9

You are building a pricing application combining the output from your internal customer database along with an online feed that contains up to the minute competitor pricing adjustments. Which of the following is the best choice for data level real time output?


  1. Big R
  2. Big SQL
  3. Hadoop native hdfs map reduce based queries
  4. Infosphere streams 
Correct answer: D
Explanation:
References:http://www-03.ibm.com/software/products/en/ibm-streams
References:
http://www-03.ibm.com/software/products/en/ibm-streams



Question 10

Which data format stores all of the data in a binary format making the files more compact, and will even add in markers to help Map Reduce jobs determine where to break large files for more efficient processing?


  1. Parquet
  2. Avro
  3. ORC
  4. Sequence File
Correct answer: B
Explanation:
References:http://www.ibmbigdatahub.com/blog/how-succeed-using-avro-storage-format
References:
http://www.ibmbigdatahub.com/blog/how-succeed-using-avro-storage-format









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