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Cloudera CCA-470 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Cluster Maintenance & Upgrades | 10% | - Backup and recovery procedures - Performing rolling upgrades |
| Topic 2: Installation & Configuration | 25% | - Cloudera Manager integration and configuration - Upgrading clusters from CDH3 to CDH4 - Configuring core services in CDH4 |
| Topic 3: CDH4 Architecture & New Features | 25% | - YARN architecture and resource management - HDFS high availability enhancements - MapReduce v2 vs MapReduce v1 differences |
| Topic 4: Cluster Administration & Operations | 25% | - Troubleshooting common CDH4 issues - Monitoring CDH4 clusters and services - Managing resources with YARN schedulers |
| Topic 5: Security & Data Management | 15% | - HDFS optimization and maintenance - Data ingestion with Flume and Sqoop - Security enhancements in CDH4 |
Cloudera Certified Administrator for Apache Hadoop CDH4 Upgrade Exam (CCAH) Sample Questions:
Question #1
Under which scenario would it be most appropriate to consider using faster (e.g 10 Gigabit) Ethernet as the network fabric for your Hadoop cluster?
A. When the typical workloads consumes a large amount of input data, relative to the entire capacity of HDFS.
B. When the typical workloads generates a large amount of intermediate data, on the order of the input data itself.
C. When the typical workloads consists of processor-intensive tasks.
D. When the typical workloads generates a large amount of output data, significantly larger than the amount of intermediate data.
Question #2
You configure Hadoop cluster with both MapReduce frameworks, MapReduce v1 (MRv1) and MapReduce v2 (MRv2/YARN). Which two MapReduce (computational) daemons do you need to configure to run on your master nodes?
A. ResourceManager
B. ApplicationMaster
C. JobTracker
D. NodeManager
E. JournalNode
Question #3
Hadoop provider web interface can be used for all of the following EXCEPT: (choose 1)
A. Keeping track of jobs running on the cluster.
B. Keeping track of tasks running on each individual slave node.
C. Keeping track of the number of files and directories stored in HDFS.
D. Browsing files in HDFS.
E. Keeping track of processor and memory utilization on each individual slave node.
Question #4
Your cluster implements HDFS High Availability (HA). You two NameNodes are named nn01 and nn02. What occurs when you execute the command:
Hdfs haadmin -failover nn01 nn02
A. Nn01 is fenced, and nn01 becomes the active NameNode
B. nn02 becomes the standby NameNode and nn02 becomes the active NameNode
C. Nn01 is fenced, and nn02 becomes the active NameNode
D. Nn01 becomes the standby NameNode and nn02 becomes the active NameNode
Question #5
What metadata is stored on a DataNode when a block is written to it?
A. None. Only the block itself is written.
B. Information on the file's location in HDFS.
C. Checksums for the data in the block, as a separate file.
D. Node location of each block belonging to the same namespace.
Solutions:
| Question #1 Answer: B | Question #2 Answer: A,B | Question #3 Answer: B | Question #4 Answer: C | Question #5 Answer: D |
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