質問 1：
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. Netezza
B. Cloudand
C. Hadoop
D. Spark
正解：A
質問 2：
Company K is designing their Big Data system. In their enterprise, they anticipate every 9 months there will be a big spike of new data on the order of multiple TB. Their company policy also dictates that data older than one year will be archived with a major clean up every 5 years. Cost is also a big issue. Which of the following provides the best design for these requirements?
A. Use Cloud elasticity capabilities to handle the peak and valley data volume
B. Use SAN storage with compression to handle the peak and valley data volume
C. Estimate the peak volume over a 5 year period and set up a Hadoop system with commodity HW andstorage to accommodate that volume
D. Estimate the peak volume over a 3 year period and set up a Hadoop system with NAS to accommodate theexpected volume
正解：C
質問 3：
Which of the following is a key consideration when determining the potential use of Models in Big Data Deployments?
A. All of the above
B. Ownership/Governance
C. Stability of schema
D. Level of Information Processing
正解：D
質問 4：
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 DB2 Data Partition Feature (DPF), partitioning all tables into different partitions
B. Use DB2 Data Partition Feature (DPF), only partitioning the 10 tables where Analytics will be run
C. Use a NoSQL data store such as MongoDB or Cloudant on the cloud to provide needed scalability
D. Use DB2 with BLU Acceleration, use columnar store for the 10 tables where Analytics will be run
正解：D
質問 5：
Which of the following does NOT consist of collaboration from various organizations to drive innovation and standardization across big data technologies?
A. IBM BigInsights
B. Cloudera Enterprise
C. Pivotal Big Data Suite
D. Hortonworks Data Platform
正解：A
解説: (Pass4Test メンバーにのみ表示されます)
質問 6：
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 network, social, and billing data in BigInsights and using available analytics tools
B. By creating a dedicated data mart in their current Enterprise Data Warehouse
C. By loading both network and social data in the current Enterprise Data Warehouse, then run analytics
D. 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
正解：D
解説: (Pass4Test メンバーにのみ表示されます)
質問 7：
BigInsights is a solution that accomplishes which of the following?
A. Can exchange information with the traditional Data warehouses only
B. Supports data exchange with a number of sources
C. Replaces the traditional Data warehouses
D. Includes a connector that enables data exchange between a BigInsights cluster and Netezza appliance in only one way
正解：D
解説: (Pass4Test メンバーにのみ表示されます)
質問 8：
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?
A. In Memory Computing
B. High Speed Mainfraime Processing
C. Enterprise Data Warehouse
D. BigInsights Open Data Platform
正解：D
解説: (Pass4Test メンバーにのみ表示されます)
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. Netezza
B. Cloudand
C. Hadoop
D. Spark
正解：A
質問 2：
Company K is designing their Big Data system. In their enterprise, they anticipate every 9 months there will be a big spike of new data on the order of multiple TB. Their company policy also dictates that data older than one year will be archived with a major clean up every 5 years. Cost is also a big issue. Which of the following provides the best design for these requirements?
A. Use Cloud elasticity capabilities to handle the peak and valley data volume
B. Use SAN storage with compression to handle the peak and valley data volume
C. Estimate the peak volume over a 5 year period and set up a Hadoop system with commodity HW andstorage to accommodate that volume
D. Estimate the peak volume over a 3 year period and set up a Hadoop system with NAS to accommodate theexpected volume
正解：C
質問 3：
Which of the following is a key consideration when determining the potential use of Models in Big Data Deployments?
A. All of the above
B. Ownership/Governance
C. Stability of schema
D. Level of Information Processing
正解：D
質問 4：
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 DB2 Data Partition Feature (DPF), partitioning all tables into different partitions
B. Use DB2 Data Partition Feature (DPF), only partitioning the 10 tables where Analytics will be run
C. Use a NoSQL data store such as MongoDB or Cloudant on the cloud to provide needed scalability
D. Use DB2 with BLU Acceleration, use columnar store for the 10 tables where Analytics will be run
正解：D
質問 5：
Which of the following does NOT consist of collaboration from various organizations to drive innovation and standardization across big data technologies?
A. IBM BigInsights
B. Cloudera Enterprise
C. Pivotal Big Data Suite
D. Hortonworks Data Platform
正解：A
解説: (Pass4Test メンバーにのみ表示されます)
質問 6：
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 network, social, and billing data in BigInsights and using available analytics tools
B. By creating a dedicated data mart in their current Enterprise Data Warehouse
C. By loading both network and social data in the current Enterprise Data Warehouse, then run analytics
D. 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
正解：D
解説: (Pass4Test メンバーにのみ表示されます)
質問 7：
BigInsights is a solution that accomplishes which of the following?
A. Can exchange information with the traditional Data warehouses only
B. Supports data exchange with a number of sources
C. Replaces the traditional Data warehouses
D. Includes a connector that enables data exchange between a BigInsights cluster and Netezza appliance in only one way
正解：D
解説: (Pass4Test メンバーにのみ表示されます)
質問 8：
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?
A. In Memory Computing
B. High Speed Mainfraime Processing
C. Enterprise Data Warehouse
D. BigInsights Open Data Platform
正解：D
解説: (Pass4Test メンバーにのみ表示されます)
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