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IBM Big Data Architect

Question No: 1

A major telecommunication company has millions of customers. Most of their customers are prepaid. Being prepaid customers, they can very easily switch to other vendors. The last four to six months, this company has lost quite a good number of customers to competition. They intend to build a system that can provide them with insight into the customer’s social network (e.g. who is the influencer and who is the follower). They also want the ability to monitor the voice and data usage patterns in real time and they want the system to be trained over time to predict possible dissatisfactions. Given this scenario, which one of the following would you recommend?

  1. Hadoop

  2. Spark

  3. Cloudant

  4. Netezza

Answer: B

Question No: 2

A telecommunication company is experiencing high churn rate. They have more than five million customers. They have more than 400TB of call detail records per year. The majority of their customers are prepaid, so they can change the telecom provider any time. In order to remedy the situation, they want to understand the customer behavior. For that reason they want to build the individual profile of each customer. They also want to enrich the profile by incorporating social media data. Given this set of requirements, which of the following would you recommend?

  1. Hadoop

  2. RDBMS

  3. Storm

  4. IBM Cloudant

Answer: C Explanation:

References: http://www.ibm.com/developerworks/library/os-twitterstorm/

Question No: 3

Which of the following statements is TRUE regarding cloud applications?

  1. Migrating a legacy application to the cloud is a simple solution to drive down cost

  2. Architecting and deploying a scalable cloud application requires a private cloud implementation

  3. To be truly elastic, a cloud application must be tightly coupled to the physical cloud environment

  4. Leveraging a private vs. public cloud may result in sacrificing some of the core advantages of cloud computing

Answer: B

Question No: 4

Service Level Agreements (SLAs) are defined at different levels. Which of the following is NOT a valid level?

  1. Customer-Based SLA

  2. Service-Based SLA

  3. Multilevel SLA

  4. Third-Party SLA

Answer: C

Question No: 5

Which of the following is NOT an example of unstructured data?

  1. HBase table

  2. Tweet

  3. Netezza table

  4. Internet Protocol Detail Record

Answer: C Explanation:

References: https://www.ibm.com/support/knowledgecenter/SSULQD_7.2.0/com.ibm.nz.gsg.doc/c_gets trt_nzsql_help.html

Question No: 6

What is the effective meaning of 鈥淣oSQL鈥?

  1. It does not permit the use of SQL

  2. It is not limited to relational database technology

  3. It does not have tables or schemas

  4. It does not permit UPDATE

Answer: C Explanation:

References: http://www.sitepoint.com/sql-vs-nosql-differences/

Question No: 7

Data in motion is data that is constantly appended with new information. This type of data can be imported into the distributed file system by using which of the following?

  1. Scoop

  2. Flume

  3. Big SQL LOAD

  4. Hadoop shell commands

Answer: B Explanation:

References: http://www.ibm.com/support/knowledgecenter/SSPT3X_2.1.2/ com.ibm.swg.im.infosphere.biginsights.import.doc/doc/data_motion.html

Question No: 8

Which of the following big data components makes all decisions regarding the replication of blocks?

  1. Job Tracker

  2. Edge Node

  3. Name Node

  4. Data Node

Answer: A

Question No: 9

Which of the following signifies evidence of congestion in the network?

  1. Packet Discards

  2. Quantity of warning in the user system logs

  3. User complaints

  4. Traffic volumes and rates

Answer: A

Question No: 10

What is the most important aspect of data center disaster recovery?

  1. A complete damage assessment

  2. Control of critical assets

  3. Restoration of business functions

  4. Protection of individual life

Answer: D

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