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Data Architects assess data according to several common characteristics. One of these characteristics is the type of data. Which of the following are data types that fall into this ontology? (Choose two.)
Answer: A, D
In order to enable connectivity between Netezza and BigInsights, what must be enabled on the Netezza Performance Server?
IBM C2030-102 Exam (IBM Big Data Architect) Detailed Information
C2090-102 Test Information / Examination Information
Number of questions : 55 Time allowed in minutes: 90 Required passing score : 60% Languages : English
Test C2090-102: IBM Big Data Architect
Overview- selected tab,
Sample / Assessment Test
This test consists of 5 sections containing a total of 55 multiple-choice questions. The percentages after each section title reflect the approximate distribution of the total question set across the sections.
Define the input data structure
Define the outputs
Define the security requirements
Define the requirements for replacing and/or merging with existing business solutions
Define the solution to meet the customer's SLA
Define the network requirements based on the customer's requirements
Use Cases (46%)
Determine when a cloud based solution is more appropriate vs. in-house (and migration plans from one to the other)
Demonstrate why Cloudant would be an applicable technology for a particular use case
Demonstrate why SQL or NoSQL would be an applicable technology for a particular use case
Demonstrate why Open Data Platform would be an applicable technology for a particular use case
Demonstrate why BigInsights would be an applicable technology for a particular use case
Demonstrate why BigSQL would be an applicable technology for a particular use case
Demonstrate why Hadoop would be an applicable technology for a particular use case
Demonstrate why BigR and SPSS would be an applicable technology for a particular use case
Demonstrate why BigSheets would be an applicable technology for a particular use case
Demonstrate why Streams would be an applicable technology for a particular use case
Demonstrate why Netezza would be an applicable technology for a particular use case
Demonstrate why DB2 BLU would be an applicable technology for a particular use case
Demonstrate why GPFS/HPFS would be an applicable technology for a particular use case
Demonstrate why Spark would be an applicable technology for a particular use case
Demonstrate why YARN would be an applicable technology for a particular use case
Applying Technologies (16%)
Define the necessary technology to ensure horizontal and vertical scalability
Determine data storage requirements based on data volumes
Design a data model and data flow model that will meet the business requirements
Define the appropriate Big Data technology for a given customer requirement (e.g. Hive/HBase or Cloudant)
Define appropriate storage format and compression for given customer requirement
Define the potential need for high availability
Define the potential disaster recovery requirements
Define the technical requirements for data retention
Define the technical requirements for data replication
Define the technical requirements for preventing data loss
Define the hardware and software infrastructure requirements
Design the integration of the required hardware and software components
Design the connectors / interfaces / API's between the Big Data solution and the existing systems
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