IBM Certified Data Architect - Big Data Certification Questions and Answers (Dumps and Practice Questions)
Question : Service level agreements can contain numerous service performance metrics with corresponding service level objectives. A common case in IT service management is a
call center or service desk. Metrics commonly agreed to in these cases include
A. Abandonment Rate: Percentage of calls abandoned while waiting to be answered.
B. ASA (Average Speed to Answer): Average time (usually in seconds) it takes for a call to be answered by the service desk.
C. TSF (Time Service Factor): Percentage of calls answered within a definite timeframe, e.g., 80% in 20 seconds.
D. FCR (First-Call Resolution): Percentage of incoming calls that can be resolved without the use of a callback or without having the caller call back the helpdesk to finish
resolving the case.
E. TAT (Turn-Around Time): Time taken to complete a certain task.
F. MTTR (Mean Time To Recover): Time taken to recover after an outage of service.
1. A,B,C
2. C,D,E
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4. B,C,D,E,F
5. A,B,C,D,E,F
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Explanation: Service level agreements can contain numerous service performance metrics with corresponding service level objectives. A common case in IT service
management is a call center or service desk. Metrics commonly agreed to in these cases include:
Abandonment Rate: Percentage of calls abandoned while waiting to be answered.
ASA (Average Speed to Answer): Average time (usually in seconds) it takes for a call to be answered by the service desk.
TSF (Time Service Factor): Percentage of calls answered within a definite timeframe, e.g., 80% in 20 seconds.
FCR (First-Call Resolution): Percentage of incoming calls that can be resolved without the use of a callback or without having the caller call back the helpdesk to finish
resolving the case.[6]
TAT (Turn-Around Time): Time taken to complete a certain task.
MTTR (Mean Time To Recover): Time taken to recover after an outage of service.
Uptime is also a common metric, often used for data services such as shared hosting, virtual private servers and dedicated servers. Common agreements include percentage of network
uptime, power uptime, number of scheduled maintenance windows, etc.
Imporatnt : Average response time : It is not a Service Level Agreement (SLA) metric.
Question : Which of the following correctly applies to NoSQL databases like HBase, Cloudant etc
1. It does not permit the use of SQL
2. It is not limited to relational database technology
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4. It does not permit UPDATE
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Explanation: The NoSQL term can be applied to some databases that predated the relational database management system (RDBMS), but it more commonly refers to the
databases built in the early 2000s for the purpose of large-scale database clustering in cloud and web applications. In these applications, requirements for performance and
scalability outweighed the need for the immediate, rigid data consistency that the RDBMS provided to transactional enterprise applications.
Notably, the NoSQL systems were not required to follow an established relational schema. Large-scale web organizations such as Google and Amazon used NoSQL databases to focus on
narrow operational goals and employ relational databases as adjuncts where high-grade data consistency is necessary.
NoSQL contrasts to databases that adhere to SQL's relational methods, where data are placed in tables and data schema are carefully designed before the database is built. NoSQL
databases especially target large sets of distributed data.
It does not necessarily have tables and schema. However, then can have it as well. There are various NOSQL solutions and each has their own approach.
A. It is wrong, some nosql db supports SQL
B. It can have support similar to RDBMS or may not
D. NoSQL database supports updates
Question : : Select the statement which applies correctly for the WorkBook in BigSheet?
A. Workbooks can have one or more sheets.
B. By default, the first sheet in your workbook is named the Results sheet
C. When you save and run the workbook, the data in a Child Workbook is the output for that workbook
D. When you add sheets to workbooks, saving the sheets runs the individual data for the sheet but not for the full workbook
1. A,B
2. B,C
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4. A,D
5. A,C
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Explanation: Workbooks contain a set of data from one or more master or child workbooks. You can create a workbook to save a particular set of data results and then
tailor the format, content, and structure of those results to refine and explore only the data that is pertinent to your business questions. You can visualize workbook data in a
map or a chart.
By default, the last sheet in your workbook is named the Result sheet. When you save and run the workbook, the data in the Result sheet is the output or the results for that
workbook. You can then create maps and charts to visualize the results data from the Results sheet.
Related Questions
Question : How blocks are stored in HDFS
1. As a binary file
2. As a decoded file
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4. Stored as archived
Question :
Which is the correct option for accessing the file which is stored in HDFS
1. Application can read and write files in HDFS using JAVA API
2. There is a command line option to access the files
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4. 1,2 and 3 are correct
5. 1 and 2 are correct
Question : Which is the correct command to copy files from local to HDFS file systems
1. hadoop fs -copy pappu.txt pappu.txt
2. hadoop fs -copyFromPath pappu.txt pappu.txt
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4. None of the above
Question :
Select the feature of Mapreduce
1. Automatic parallelization and distribution
2. fault-tolerance
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4. All of the above
Question : Your cluster has slave nodes in three different racks, and you have written a rack topology script identifying each machine as being in hadooprack,
hadooprack2, or hadooprack3. A client machine outside of the cluster writes a small (one-block) file to HDFS. The first replica of the block is written
to a node on hadooprack2. How is block placement determined for the other two replicas?
1. One will be written to another node on hadooprack2, and the other to a node on a different rack.
2. Either both will be written to nodes on hadooprack1, or both will be written to nodes on hadooprack3.
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4. One will be written to hadooprack1, and one will be written to hadooprack3.
Question : Identify which three actions you can accomplish once you implement HDFS High Availability (HA) on your Hadoop cluster.
1. Automatically replicate data between two clusters.
2. Manually 'fail over' between NameNodes.
3. Automatically 'fail over' between NameNodes if one goes down.
4. Shut one NameNode down for maintenance without halting the cluster.
5. Write data to two clusters simultaneously.
1. 1,3,4
2. 2,3,4
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4. All 1,2,3,4,5