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NEW QUESTION 1
A large global enterprise customer has a Big Data environment set up on Hadoop. After a year in operation they are now looking to extend access to multiple functions that will need different views into different aspects/portions of the data. As you consider these requirements, which of the following statements is TRUE and also applies to the scenario?
- A. Hadoop does not support multi tenancy but can easily scale to support this by replicating data to new clusters with commodity hardware.
- B. Hadoop can support multi tenancy but only if YARN is used, so if not already used, the customer will need to upgrade to a YARN supported version.
- C. Virtualization methods can be used to support multi-tenancy on Hadoop because one can easily replicate to additional cluster whenever there is a need.
- D. Hadoop can support multi tenancy by using a cluster file system for storage, allowing all nodes to access the data.
Answer: D
Explanation:
Reference:
http://www-01.ibm.com/support/knowledgecenter/STXKQY/411/com.ibm.spectrum.scale.v4r1 1.adv.do c/bl1adv_hadoop.htm?lang=en
NEW QUESTION 2
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?
- A. Nagios with YARN
- B. Slider with YARN
- C. Oozie with Lucene
- D. OPTIM Performance Manager
Answer: B
NEW QUESTION 3
GPFS is recommended when additional levels of control are required. Which of the following requirements can only be supported by GPFS?
- A. There is a requirement where logical isolation and physical isolation need to be supported
- B. There is a requirement for separate clusters for analytics and databases
- C. There is a need to support placing a MapReduce split on one local disk
- D. There is a need to run the NameNode in a separate high availability environment
Answer: A
Explanation:
References: https://www.ibm.com/support/knowledgecenter/SSPT3X_3.0.0/com.ibm.swg.im.infosphere.biginsights.product.doc/doc/over_filesystem_comparis on.html
NEW QUESTION 4
A smart meter project is being undertaken by anElectric utility headquartered in San Francisco. They are looking for technology for monitoring thousands of meters, multiple times within an hour, andperforming corresponding downstream advisory action to influence usage behavior. Which of the following would you recommend to function at the heart of this process?
- A. Hadoop
- B. SPSS
- C. Reporting engine and a portal
- D. Infosphere Streams
Answer: B
NEW QUESTION 5
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 6
An IBM Big Data platform is well suited to deal which of the following kinds of data types?
- A. Structured data in row format only
- B. Semi-structured and unstructured data only
- C. Text data, sensor data, and audio data only
- D. Semi-structured, unstructured, and structured data
Answer: D
Explanation:
Reference:
https://www-304.ibm.com/industries/publicsector/fileserve?contentid=239170
NEW QUESTION 7
A reputable market research firm wants to explore more business opportunities. They have great in house skill in python and machine learning. Their business model is simple, they build the solutions for customers using python and machine learning algorithms and give these solutions to the customer’s engineering team for implementation. Given this scenario, which of the following would you recommend?
- A. Netezza
- B. Spark
- C. Cloudant
- D. Hadoop
Answer: D
NEW QUESTION 8
A company has to design a new data system. They will need to support several OLTP applications. Every three days a batch job will run to load specific data into a set of 10 large tables (with historical data) where OLAP analytics will be performed. Performance for both OLTP and OLAP queries is important. Which of the following designs would you suggest to the company?
- A. Use a NoSQL data store such as MongoDB or Cloudant on the cloud to provide needed scalability
- B. Use DB2 Data Partition Feature (DPF), partitioning all tables into different partitions
- C. Use DB2 Data Partition Feature (DPF), only partitioning the 10 tables where Analytics will be run
- D. Use DB2 with BLU Acceleration, use columnar store for the 10 tables where Analytics will be run
Answer: D
NEW QUESTION 9
Which of the following big data components makes all decisions regarding the replication of blocks?
- A. Job Tracker
- B. Edge Node
- C. Name Node
- D. Data Node
Answer: A
NEW QUESTION 10
Which of the following statements regarding Big R is TRUE?
- A. Missing data values must be handled by ETL processes prior to analyzing data with Big R
- B. A bigr.frame loads data in memory for optimal performance
- C. A Big R user is responsible for parallelizing the execution of the R functions being used in the R program
- D. Performing a mathematical operation on a Big R vector variable willautomatically loop through each item inthe vector
Answer: D
Explanation:
Reference:
http://www.computerworld.com/article/2497319/business-intelligence-beginner-s-guide-to-r-syntax-quirks-you-llwant-to-know.html
NEW QUESTION 11
Which of the following does NOT consist of collaboration from various organizations to drive innovation and standardization across big data technologies?
- A. Cloudera Enterprise
- B. Hortonworks Data Platform
- C. IBM BigInsights
- D. Pivotal Big Data Suite
Answer: C
Explanation:
Reference:
http://www-01.ibm.com/software/data/bigdata/business-partner.html
NEW QUESTION 12
A media company wants to enhance their subscription services to their end customers by incorporating Twitter, Wikis, Blogs, and Analysts data. The company likes to provide a real- time dashboard view for news articles, press releases, andanalysts perspective to end customers based on their subscriptions. What solution blueprint would offer the best fit for this critical business
requirement?
- A. Watson Analytics
- B. Big Insights, Spark, and Big SQL
- C. Pure Data for Analytics PDA, and SPSS
- D. InfoSphere Streams, BigInsights, and Watson Explorer
Answer: D
NEW QUESTION 13
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 14
If the recovery point objective (RPO) is low, which of the following techniques would be the most appropriate?
- A. Clustering
- B. Database Shadowing
- C. Remote Journaling
- D. Tape Backup
Answer: A
Explanation:
References:
http://whatis.techtarget.com/definition/recovery-point-objective-RPO
NEW QUESTION 15
What is used to capture client requirements for software selection and to evaluate the initial functional “fit” of a vendor’s software solution to the business needs of the client?
- A. Operational Model
- B. Requirements Matrix
- C. Viability Assessment
- D. Use Case Model
Answer: B
NEW QUESTION 16
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 17
A telco company is struggling to retain their high value customers.The marketing team has access to the billing data and is using it for customer segmentation. They would like to tap on network and social data to understand customer behavior before crafting any special offer. How best can they achieve this task?
- A. By loading both network and social data in the current Enterprise Data Warehouse, then run analytics
- B. By loading network and social data in BigInsights for exploration then moving resulting data to Enterprise Data Warehouse, and merging with billing data for analytics
- C. By loading network, social, and billing data in BigInsights and using available analytics tools
- D. By creating a dedicated data mart in their current Enterprise Data Warehouse
Answer: B
Explanation:
Reference:
https://ibmdatawarehousing.wordpress.com/category/ibm-data-warehouse/
NEW QUESTION 18
Which of the following signifies evidence of congestion in the network?
- A. Packet Discards
- B. Quantity of warning in the user system logs
- C. User complaints
- D. Traffic volumes and rates
Answer: A
NEW QUESTION 19
A news organization wants to analyze all the news stories coming in real time and make them available to their users based on the user’s interest. Given this requirement, which of the following would you recommend?
- A. Spark
- B. Hadoop
- C. Netezza
- D. Cloudant
Answer: A
NEW QUESTION 20
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 21
Big data is often defined as the ability to derive new insights from data that has scaled up along three axes known as the three v’s. Which of the following is the fourth v? (Hint: It has something to do with the uncertainty.)
- A. volume
- B. variety
- C. velocity
- D. veracity
Answer: C
NEW QUESTION 22
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