MCQOPTIONS
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MCQOPTIONS
This section includes 14 Mcqs, each offering curated multiple-choice questions to sharpen your Hadoop knowledge and support exam preparation. Choose a topic below to get started.
| 1. |
__________ refers to incremental costs with no major impact on solution design, performance and complexity. |
| A. | Scale-out |
| B. | Scale-down |
| C. | Scale-up |
| D. | None of the mentioned |
| Answer» D. None of the mentioned | |
| 2. |
HBase provides ___________ like capabilities on top of Hadoop and HDFS. |
| A. | TopTable |
| B. | BigTop |
| C. | Bigtable |
| D. | None of the mentioned |
| Answer» D. None of the mentioned | |
| 3. |
Which is the most popular NoSQL database for scalable big data store with Hadoop? |
| A. | Hbase |
| B. | MongoDB |
| C. | Cassandra |
| D. | None of the mentioned |
| Answer» B. MongoDB | |
| 4. |
HDFS and NoSQL file systems focus almost exclusively on adding nodes to ____________ |
| A. | Scale out |
| B. | Scale up |
| C. | Both Scale out and up |
| D. | None of the mentioned |
| Answer» B. Scale up | |
| 5. |
__________ are highly resilient and eliminate the single-point-of-failure risk with traditional Hadoop deployments. |
| A. | EMR |
| B. | Isilon solutions |
| C. | AWS |
| D. | None of the mentioned |
| Answer» C. AWS | |
| 6. |
Hadoop data is not sequenced and is in 64MB to 256MB block sizes of delimited record values with schema applied on read based on ____________ |
| A. | HCatalog |
| B. | Hive |
| C. | Hbase |
| D. | All of the mentioned |
| Answer» B. Hive | |
| 7. |
________REFERS_TO_INCREMENTAL_COSTS_WITH_NO_MAJOR_IMPACT_ON_SOLUTION_DESIGN,_PERFORMANCE_AND_COMPLEXITY.?$ |
| A. | Scale-out |
| B. | Scale-down |
| C. | Scale-up |
| D. | None of the mentioned |
| Answer» D. None of the mentioned | |
| 8. |
HBase provides ___________ like capabilities on top of Hadoop and HDFS? |
| A. | TopTable |
| B. | BigTop |
| C. | Bigtable |
| D. | None of the mentioned |
| Answer» D. None of the mentioned | |
| 9. |
The ___________ can also be used to distribute both jars and native libraries for use in the map and/or reduce tasks. |
| A. | DataCache |
| B. | DistributedData |
| C. | DistributedCache |
| D. | All of the mentioned |
| Answer» D. All of the mentioned | |
| 10. |
Which is the most popular NoSQL database for scalable big data store with Hadoop ? |
| A. | Hbase |
| B. | MongoDB |
| C. | Cassandra |
| D. | None of the mentioned |
| Answer» B. MongoDB | |
| 11. |
HDFS and NoSQL file systems focus almost exclusively on adding nodes to : |
| A. | Scale out |
| B. | Scale up |
| C. | Both Scale out and up |
| D. | None of the mentioned |
| Answer» B. Scale up | |
| 12. |
__________ are highly resilient and eliminate the single-point-of-failure risk with traditional Hadoop deployments |
| A. | EMR |
| B. | Isilon solutions |
| C. | AWS |
| D. | None of the mentioned |
| Answer» C. AWS | |
| 13. |
Hadoop data is not sequenced and is in 64MB to 256MB block sizes of delimited record values with schema applied on read based on: |
| A. | HCatalog |
| B. | Hive |
| C. | Hbase |
| D. | All of the mentioned |
| Answer» B. Hive | |
| 14. |
________ systems are scale-out file-based (HDD) systems moving to more uses of memory in the nodes. |
| A. | NoSQL |
| B. | NewSQL |
| C. | SQL |
| D. | All of the mentioned |
| Answer» B. NewSQL | |