IBM
CODE: 00M-639 Exam Name: IBM Big Data Sales Mastery Test v1 Exam
http://www.testsexpert.com/00M-639.html
Type
Microsoft
1
IBM
Demo
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Question: 1 Use cases of analytics of data in motion refers to: A. Smart Grid Management B. Real-time promotions C. Cyber Security D. ICU Monitoring E. IT log analysis F. All of the above G. None of the above
Answer: B Question: 2 With a Big Data platform an organization can A. Discover and experiment B. Analyze information in motion C. Analyze extreme volumes of information D. Manage and plan E. All of the above
Answer: E Explanation: Reference: https://www-950.ibm.com/events/wwe/ca/canaHYPERLINK "https://www950.ibm.com/events/wwe/ca/canada.nsf/vLookupPDFs/iigf_-_quebec__big_data_deeper_dive_english/$file/IIGF - Queb"da.nsf/vLookupPDFs/iigf_-_quebec__big_data_deeper_dive_english/$file/IIGF%20-%20Quebec%20%20Big%20Data%20Deeper%20Dive%20English.pdf (7th slide)
Question: 3 Top Industry Big Data use cases include:
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A. Telcom B. Healthcare C. Finance D. Government E. Retail F. Utilities G. All of the above
Answer: A, B, C, D Explanation: Reference: http://www.jaspersoft.com/press/jaspersoft-big-data-surveyHYPERLINK "http://www.jaspersoft.com/press/jaspersoft-big-data-survey-highlights-global-adoption-trends-anduse-cases"-highlights-global-adoption-trends-and-use-casHYPERLINK "http://www.jaspersoft.com/press/jaspersoft-big-data-survey-highlights-global-adoption-trends-anduse-cases"es
Question: 4 Hadoop is designed to scale up from a single server to thousands of machines, but with: A. A very low degree of fault tolerance B. A very high degree of fault tolerance C. No Fault tolerance D. All of the above E. None of the above
Answer: B Explanation: Reference: https://www.ibm.com/developerworks/mydevelopeHYPERLINK "https://www.ibm.com/developerworks/mydeveloperworks/blogs/ibm-bigdata/entry/hadoop:_the_big_answer_to_big_data!?lang=en"rworks/blogs/ibm-bigdata/entry/hadoop:_the_big_answer_to_big_data!?lang=en (second paragraph)
Question: 5 Infosphere BigInsights enables a computing solution that is:
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A. Scalable - New nodes can be added as needed, and added without needing to change data formats. B. Cost effective - Hadoop brings massively parallel computing to commodity servers. The result is a sizable decrease in the cost per terabyte of storage. C. Flexible -Hadoop is schema-less, and can absorb any type of data, structured or not, and from any number of sources. D. Fault tolerant - When a node is lost, the system redirects work to another location of the data and continues processing. E. All of the above
Answer: E Question: 6 Infosphere Streams does not feature: A. Un-clustered runtime for low latency streaming applications B. Mining toolkit to score data models in real time C. Analysis of both structured and unstructured data D. High availability
Answer: A Question: 7 IBM Big Data platform allows an organization to bring together any data source, at any velocity, to generate insight. A. True B. False
Answer: A Explanation: Reference: http://www.slideshare.net/MauricioSWG/robert-leblanc-whHYPERLINK "http://www.slideshare.net/MauricioSWG/robert-leblanc-why-big-data-why-now"y-big-data-why-now (slide 10)
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Question: 8 The analytic capabilities that come built-in with the Big Data platform include: A. Geospatial B. Mathematical C. Predictive D. Data Mining E. Statistical F. All of the above
Answer: F Explanation: Reference: https://www-950.ibm.com/events/wwe/grp/grp004.nsf/vLookupPDFs/Bruce%20Brown%20%20BigInsights-1-16-12-external/$file/Bruce%20BrownHYPERLINK "https://www950.ibm.com/events/wwe/grp/grp004.nsf/vLookupPDFs/Bruce Brown - BigInsights-1-16-12external/$file/Bruce Br"%20-%20BigInsights-1-16-12-external.pdf (slide 28)
Question: 9 With a Big Data platform an organization can A. Discover and experiment B. Analyze information in motion C. Analyze extreme volumes of information D. Manage and plan E. All of the above
Answer: C Explanation: Reference: http://www-01.ibm.com/software/data/bigdata/
Question: 10 What is NOT an open source component of BigInsights?
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A. HBase B. Pig C. Hippo D. Zoo Keeper E. Jaql
Answer: C Explanation: Reference: http://publib.boulder.ibm.com/infocenter/bigins/v1r1/index.jsp?topic=%2Fcom.ibm.swg.im.infosphere. HYPERLINK "http://publib.boulder.ibm.com/infocenter/bigins/v1r1/index.jsp?topic=/com.ibm.swg.im.infosphere.bi ginsights.doc/doc/c0057"biginsights.doc%2Fdoc%2Fc0057841.html
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IBM
CODE: 00M-639 Exam Name: IBM Big Data Sales Mastery Test v1 Exam
http://www.testsexpert.com/00M-639.html Microsoft
Cisco
IBM
MCTS 70-177
CCNA 640-802 640-822 640-816 640-460
MBS 98-361 98-366
CCNP 642-832 642-813 642-825 642-845
000-G01 000-M44
MCAS 77-602
CCSP 642-627 642-637 642-647 642-545
000-444 000-910
MCSE 70-282
CCIE 350-001 350-018 350-029 350-060
COG-105 COG-185
MCSA 2003 70-461 70-620
DATA CENTER 642-972 642-973 642-974 642-975
70-162 70-462
MB3-861
77-601 77-604 70-281 70-284 70-680
70-463
MB3-862
77-605 70-285
70-291
Microsoft
7
IBM
IBM Lotus
000-M42 000-M60
000-M41 000-M62
IBM Mastery
000-M43 000-M45
Solutions Expert
000-640 000-913
IBM Cognos
COG-180 COG-200
IBM Specialist
000-005 000-032
000-015 000-042
HP
Other
AIS
70-323 9L0-063 9L0-010 9L0-517 HP2-E53 70-321 650-179 1Y0-A20 00M-646 MB2-876 646-206 9L0-314 MB6-884 220-701 650-196 3305 MB6-871 HP2-Z22 9L0-407 9A0-146 HP2-H23 000-184 1Z0-527 HP2-B91 000-781 M70-201 M70-101 7004 HP3-X11 HP3-X08
HP0-311
HP0-M28
HP0-A25
HP0-M30
APC
HP0-D11 HP0-S29
HP0-J37 HP0-P14
MASE HP0-J33 HP0-M48 HP0-M49 HP0-M50 ASE
HP0-066 HP0-781
HP0-082 HP0-782
CSE
HP0-090 HP0-277
HP0-276 HP0-760
HP Cisco Oracle Instant download after purchase
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