NEW QUESTION 1
Which of the following can NOT be performed by the Open Data Platform (ODP)?

• A. Provide development and governance of upstream projects
• B. Contribute to the Apache Software Foundation projects
• C. Produce a set of tools and methods that enable members to create and test differentiated offerings based on the ODP core
• D. Accelerate the delivery of Big Data solutions by providing a well-defined core consisting of all the components of the Apache Software Foundation projects

Answer: C

NEW QUESTION 2
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?

• A. Datastage ETL jobs should be created
• B. Infosphere Streams should be used
• C. Cognos reports would suffice here
• D. Hadoop based datastorage engine should be used

Answer: B

NEW QUESTION 3
A bank wants to build a system that tracks all ATM and online transactions in real- time. They want to build a personalized model of their customer’s financial activity by incorporating enterprise data as well as social media data. The system must be able to learn and adapt over a period of time. These personalized models will be used for real time promotions as well as for any fraud or crime detections. Given these requirements, which of the following would recommend?

• A. Spark
• B. Hadoop
• C. Cloudand
• D. Netezza

Answer: D

NEW QUESTION 4
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?

• A. Infosphere DataStage
• B. DB2
• C. Pure Data System for Analytics
• D. SPSS

Answer: C

NEW QUESTION 5
Which of the following statements regarding Big R is TRUE?

• A. The Big R API is completely identical to the R API
• B. Big R implements an interpreted computer language
• C. Big R users cannot access Big R capabilities from the standard RStudio client as RStudio is not Hadoopenabled
• D. Big R utilizes the big SQL query engine for processing

Answer: D

Explanation:
References: https://www.ibm.com/support/knowledgecenter/SSPT3X_3.0.0/com.ibm.swg.im.i nfosphere. biginsights.bigr.doc/ doc/intro.html

NEW QUESTION 6
What is the most important aspect of data center disaster recovery?

• A. A complete damage assessment
• B. Control of critical assets
• C. Restoration of business functions
• D. Protection of individual life

Answer: D

NEW QUESTION 7
What term applies to the data elements in Infosphere Streams?

• A. Tuples
• B. Operators
• C. Sink adapters
• D. Composite operators

Answer: B

Explanation:
Reference:
http://www-01.ibm.com/support/knowledgecenter/SSCRJU_3.2.1/com.ibm.swg.im.infosphere. streams. glossary.doc/doc/glossary_Streams.html?lang=en

NEW QUESTION 8
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?

• A. Define a data catalog in a traditional data warehouse
• B. Create different solutions to handle every kind of data
• C. Store a wide range of data formats on the same platform
• D. Define a comprehensive taxonomy and constantly review

Answer: D

Explanation:
Reference:
http://www.redbooks.ibm.com/redpapers/pdfs/redp5070.pdf Page: 15

NEW QUESTION 9
Financial company A needs to ingest, analyze and store 8 billion structured transactions per day ( around 2TB to 4TB of data) which translates full table scans, 24/7 access without any downtime, trend analysis, and the search for evidence of fraudulent activity. Which of the following technologies would you recommend to the company to meet these requirements?

• A. IBM Cognos and Unica
• B. Pure Data System for Analytics
• C. Infosphere Streams
• D. The Advanced Text Analytic Toolkit

Answer: B

NEW QUESTION 10
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?

• A. Big R
• B. Big SQL
• C. Hadoop native hdfs map reduce based queries
• D. Infosphere streams

Answer: D

Explanation:
References:
http://www-03.ibm.com/software/products/en/ibm-streams

NEW QUESTION 11
Company A has decided to implement a new data system to support their rapidly growing business. They have an existing 20 TB worth of raw data, with an expected weekly incoming rate of 50 GB of new raw data. The data is mostly text based and unstructured. A typical query can involve pulling in 10 GB of data. Historically, performance has been an issue and currently needs to be addressed. Which of the following would you suggest to support these requirements?

• A. Set up a Hadoop system with commodity HW for scalability
• B. Utilize de-duplication and compression technology
• C. Use a mixture of different disk-types to provide hot/cold storage
• D. Create range partitions for the data

Answer: A

NEW QUESTION 12
Which of the following is the artifact that assists in ensuring that the project is on the right path toward success?

• A. Component Model
• B. Empathy Map
• C. Viability Assessment
• D. Opportunity Plan

Answer: C

NEW QUESTION 13
In BigSheets you can add sheets to workbooks to progressively edit and explore your data. Which of the following is a CORRECT list of types of sheets that BigSheets provides and can contain predefined logic for analyzing data?

• A. Copy, Formula, Update
• B. Filter, Insert, Union
• C. Distinct, Join, Stored Procedure
• D. Complement, Limit, Group

Answer: D

Explanation:
References:
https://developer.ibm.com/hadoop/blog/2014/08/18/use-bigsheets-analytics/

NEW QUESTION 14
The analysis layer reads the data digested by the layer massaging and store layer. In some cases, the analysis layer accesses the data directly from the data source. Designing the analysis layer requires careful forethought and planning. Decisions must be made with regard to how to manage the tasks to do which of the following?

• A. Reduce the volume of data
• B. Locate the data sources that can provide data for the required entities
• C. Identify multi-dimension data sources
• D. Identify data import and export tools to adopt and deliver an ETL strategy

Answer: B

Explanation:
References:
http://www.ibm.com/developerworks/library/bd-archpatterns3/

NEW QUESTION 15
Considering a service level requirement (SLR) of less than 3 milliseconds, what task must be performed to meet the SLR?

• A. Collect and analyze SNMP MIB data
• B. Survey a representative amount of end users
• C. Measure switch failure frequency
• D. Inquire when prime network hours occur

Answer: C

NEW QUESTION 16
“The programming model for client developers will hide the complexity of interfacing to legacy systems” is an example of which of the following?

• A. A use case
• B. An architectural decision
• C. A client imperative
• D. An empathy statement

Answer: B

NEW QUESTION 17
What are the two levels documented in the Operational Model? (Choose two.)

• A. Logical
• B. Rational
• C. Theoretical
• D. Physical
• E. Middleware

Answer: AC

NEW QUESTION 18
Which of the following is NOT a typical Service Level Agreement (SLA) metric?

• A. Abandonment rate
• B. Average speed to answer
• C. Time service factor
• D. Average response time

Answer: D

NEW QUESTION 19
For company B, 85% of their analytics queries only involve about 25% of their data; another 10% of the queries will touch 35% of the rest of the data, and only 5% of the queries will touch the remaining 40% of the data. The estimated volume is 50TB growing at 1 TB per year. Which of the following would provide the best value (business benefit) and lowest TCO?

• A. Place the entire set of data in a data warehouse with proper partitioning and indexing
• B. Place the entire set of data in a hadoop environment – using commodity HW
• C. Place the top 25% of data (used by 85% of the query) in a hadoop environment, and the rest in a data warehouse
• D. Place the top 25% of data (used by 85% of the query) in a data warehouse, and the rest in a hadoop environment

Answer: C

NEW QUESTION 20
Which of the following statements is TRUE regarding cloud based solutions?

• A. In a Platform as a Service Cloud deployment, the customer chooses the operating system they want to use
• B. Automated recovery from hardware or network failures is not possible in a public cloud implementation, onlyin a private clouds
• C. There are benefits to use the cloud even for small-scale applications
• D. Using firewalls to create network boundaries is sufficient for ensuring cloud security

Answer: C

Explanation:
References:
http://www.ibm.com/developerworks/cloud/library/cl-cloudappdevelop/

NEW QUESTION 21
Defining your need to enrich existing customer data you realize that you need to process large quantities of Geospatial data and output to your data warehouse in a standard GeoJSON format. Which of the following would provide a business analyst with the desired output?

• A. Big SQL
• B. BigSheets
• C. Hive queries
• D. Text Analytics

Answer: C

NEW QUESTION 22
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?

• A. HBase together with OPTIM performance Manager
• B. Text Analytics with OPTIM performance Manager
• C. Nagios with Lucene
• D. Oozie with Lucene

Answer: C

Explanation:
References: https://www.nagios.org/ https://www.ibm.com/support/knowledgecenter/SSPT3X_2.1.2/ com.ibm.swg.im.infosphere.biginsights.product.doc/doc/bi_addtl_technologies.ht ml

NEW QUESTION 23
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