27 June, 2020

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Total 110 questions Full Exam Access

Question 1

Which of the following approaches can an organization take to solve the impact on the performance and capacity originated by the variety of data types?

Define a data catalog in a traditional data warehouse

Create different solutions to handle every kind of data

Store a wide range of data formats on the same platform

Define a comprehensive taxonomy and constantly review

Question 2

The NameNode determines the rack id to which each DataNode belongs via the process outlined in which of the following?

HDFS APIs

Hadoop Rack Awareness

Job Tracker

NameNode High Availability

Question 3

A large application vendor wants to port their existing distributed applications to run on Hadoop. In order to be competitive they need to provide monitoring and keep the size of the monitored applications consistent with the configuration. This implies the ability to deploy a replacement, for example, for any failed components. Which of the following would be a workable solution?

Nagios with YARN

Slider with YARN

Oozie with Lucene

OPTIM Performance Manager

Question 4

You are asked to provide deep analytics from existing historical data to score new
high volume incoming live data with low latency in real time. Which of the following would you suggest?

SPSS Modeler with InfoSphere Streams

Info Sphere DataStage with InfoSphere Streams

Hive with MapReduce

Cassandra with YARN

Question 5

In computer science, which of the following represents a set of properties that guarantee that database transactions are processed reliably?

Foreign Key

Primary Key

Buffer Cache

ACID

Question 6

A large Retailer (online and “brick & mortar”) processes data for analyzing marketing campaigns for their loyalty club members. The current process takes weeks for processing only 10% of social data. What is the most costeffective platform for processing and analyzing campaign results from social data on a daily basis using 100% dataset?

Enterprise Data Warehouse

BigInsights Open Data Platform

High Speed Mainfraime Processing

In Memory Computing

Question 7

Which of the following is NOT a valid Big Data platform integration?

Platform plugins

Intraplatform integration

Enterprise integration with other repositories

Network integration

Question 8

You have implemented a large Hadoop MapReduce cluster and the applications and users are multiplying. You are now faced with requests for interactive and streaming data applications while you still need to support the original MapReduce batch Jobs. Select the best option for continued support and performance.

Just add several data nodes as Hadoop clusters are designed to scale-up easily

Keep your original cluster configuration, all that is needed is re-optimizing the Oozie- workflow management

Implement Yarn to decouple MapReduce and resource management

Implement Apache Cassandra to automatically optimize multi-tenancy workloads

Question 9

The downside of cloud computing, relative to SLAs, is the difficulty in determining which of the following?

Root cause for service interruptions

Turn-Around-Time (TAT)

Mean Time To Recover (MTTR)

First Call Resolution (FCR)

Question 10

A media company collects customer behavior data, such as how frequently they tune in, specific viewing habits, and peak usage in real time, in order to improve their services.The company likes to segmentits customers for advertisers by correlating viewing habits with public data, such as voter registration, in order to launch highly targeted campaigns to specific demographics. What technology should their Data Architect consider?

InfoSphere Streams, BigInsights, and Pure Data for Analytics PDA

BigInsights and Pure Data for Operational Analytics PDOA

InfoSphere Streams, Spark, and BigR

PureData for Analytics and SPSS

Question 11

GPFS is recommended when additional levels of control are required. Which of the following requirements can only be supported by GPFS?

There is a requirement where logical isolation and physical isolation need to be supported

There is a requirement for separate clusters for analytics and databases

There is a need to support placing a MapReduce split on one local disk

There is a need to run the NameNode in a separate high availability environment

Question 12

Data high availability is provided by SAN in traditional architectures by employing a level of RAID. What is the Hadoop equivalent?

Data Node

Replication

Quorum Journal Manager

Yarn Resource Manager

Question 13

Which of the following statements regarding Big R is TRUE?

Unless specified otherwise, Big R automatically assumes all data to be integers

Big R’s ‘bigr.frame’ is equivalent to R’s ‘data.frames’

When you execute Big R “apply” function, Big R transparently extracts data out of HDFS into the Big R engine

A data analyst using Big R employs Map Reduce programming principles

Question 14

You are consulting with a company to design a new Big Data System. The CIO insists that all components must be open source. The key requirement is to provide text search on their data. For audit purposes the infrastructure must also be monitored and an alert system in place. To meet these requirements, which of the following would you suggest?

HBase together with OPTIM performance Manager

Text Analytics with OPTIM performance Manager

Nagios with Lucene

Oozie with Lucene

Question 15

You need to create an online repository for a company. Data includes pdf, documents, html, images, etc. Total data volume is approximately 1PB. Online repository must be highly available. You are required to propose the least costly solution. Which technology would be preferred for this requirement?

Spark

RDBMS

Hadoop

IBM Infosphere Streams

Question 16

A telecommunication company needs a Big Data solution that could store and analyze multiple years worth of call detail records (CDRs, aprox. 17 billion events per day) containing switch, billing, and network event data for its millions of subscribers. Which of the following would you recommend for these requirements?

Infosphere DataStage

DB2

Pure Data System for Analytics

SPSS

Question 17

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?

Hadoop

Spark

Cloudant

Netezza

Question 18

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?

Parquet

Avro

ORC

Sequence File

Question 19

An upstream Oil and Gas Producer needs to optimize the performance of its assets. It needs to calculate Key Performance Indicators for flow rate sensors deployed to monitor the output flow and temperature and pressure for multiple pipelines in an oil field with hundreds of wells. Which of the following would you recommend to meet these requirements?

Datastage ETL jobs should be created

Infosphere Streams should be used

Cognos reports would suffice here

Hadoop based datastorage engine should be used

Question 20

You are going to develop Spark applications for your client. Which of the following cluster managers, that is also part of the Open Data Platform (ODP), would you use to focus on building the business driven application?

Amazon EC2

Apache Mesos

Hadoop Yarn

Standalone deploy mode

Question 21

Which architecture document is used to help organize projects, manage the complexity of the solution, and ensurethat all architecturerequirements have been addressed?

Operational Model

Component Model

Connection Model

API Model

Question 22

Which of the following is the section of the Component Model that details how the solution integrates?

Component Relationship Diagram

Component Interface Diagram

Component Interaction Diagram

Component Reaction Diagram

Question 23

The inputs to the Architectural Overview document do NOT include which of the following?

Architectural Goals

Key Concepts

Architectural Overview Diagram

Component Model

Question 24

Which one of the following statements about Big SQL is TRUE?

Big SQL doesn’t need any secondary indices to access HBase tables

Big SQL processes queries locally either on disk or in memory

Big SQL supports updates in Hive.

Executing Big SQL queries through MapReduce framework would always be a better choice

Question 25

In a typical Hadoop HA cluster, two separate machines are configured as which of the following?

Data Nodes

Edge Nodes

Name Nodes

None of the Above

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Total 110 questions Full Exam Access