Cloudera CCA-410 : Cloudera Certified Administrator for Apache Hadoop CDH4

  • Exam Code: CCA-410
  • Exam Name: Cloudera Certified Administrator for Apache Hadoop CDH4
  • Updated: Sep 07, 2026
  • Q & A: 97 Questions and Answers

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Cloudera CCA-410 Exam Syllabus Topics:

SectionObjectives
Topic 1: Cluster Installation and Configuration- CDH4 setup
  • 1. Installation of Cloudera Manager components
    • 2. Cluster provisioning and node configuration
      - Service configuration
      • 1. HDFS and MapReduce configuration tuning
        • 2. Resource allocation and basic tuning
          Topic 2: Data Processing Tools and Ecosystem- Data ingestion and processing tools
          • 1. Flume data ingestion pipelines
            • 2. Sqoop data import/export
              - Query and workflow tools
              • 1. Oozie workflow scheduling basics
                • 2. Hive query execution and management
                  Topic 3: Security and Cluster Operations- Operational maintenance
                  • 1. Backup and restore strategies
                    • 2. Upgrades and patch management
                      - Security configuration
                      • 1. Kerberos authentication basics
                        • 2. User and permission management
                          Topic 4: HDFS Administration- Filesystem management
                          • 1. HDFS commands and file operations
                            • 2. Permissions and ownership management
                              - Storage maintenance
                              • 1. Safe mode and recovery operations
                                • 2. Data replication and block management
                                  Topic 5: Hadoop Cluster Architecture (CDH4)- Core Hadoop components
                                  • 1. MapReduce v1 job execution model
                                    • 2. HDFS architecture and data replication
                                      - Cluster roles and services
                                      • 1. JobTracker and TaskTracker operations
                                        • 2. NameNode, Secondary NameNode, DataNode roles
                                          Topic 6: Cluster Monitoring and Troubleshooting- System monitoring
                                          • 1. Log analysis and alert management
                                            • 2. Using Cloudera Manager monitoring tools
                                              - Fault diagnosis
                                              • 1. Node failure recovery procedures
                                                • 2. Performance bottleneck identification

                                                  Cloudera Certified Administrator for Apache Hadoop CDH4 Sample Questions:

                                                  Question #1

                                                  Identify which two daemons typically run each slave node in a Hadoop cluster running MapReduce v1 (MRv1)

                                                  • A. NodeManager
                                                  • B. DataNode
                                                  • C. NameNode
                                                  • D. JobTracker
                                                  • E. Secondary NameNode
                                                  • F. TaskTracker
                                                  Answer: B,F

                                                  Explanation: Only visible for ValidVCE members. You can sign-up / login (it's free).

                                                  Question #2

                                                  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 generates a large amount of output data, significantly larger than the amount of intermediate data.
                                                  • B. When the typical workloads consumes a large amount of input data, relative to the entire capacity of HDFS.
                                                  • C. When the typical workloads consists of processor-intensive tasks.
                                                  • D. When the typical workloads generates a large amount of intermediate data, on the order of the input data itself.
                                                  Answer: D

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                                                  Question #3

                                                  Your cluster implements hdfs high availability (HA) your two namenodes are named hadoop01 and hadoop02. What occurs when you execute the command:
                                                  Sudo -u hdfs haadmin -failover hadoop01 hadoop02

                                                  • A. Hadoop02 is fenced, and hadoop01 becomes active namenode
                                                  • B. Hadoop01 becomes inactive and hadoop02 becomes the active namenode
                                                  • C. Hadoop02 becomes the standby namenode and hadoop01 becomes the active namenode
                                                  • D. Hadoop01 is fenced, and hadoop02 becomes the active namenode
                                                  Answer: D

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                                                  Question #4

                                                  Compare the hardware requirements of the NameNode with that of the DataNodes in a Hadoop cluster running MapReduce v1 (MRv1):

                                                  • A. The NameNode and DataNodes should the same hardware configuration.
                                                  • B. The NameNode requires more memory and requires greater disk capacity than the DataNodes.
                                                  • C. The NameNode requires less memory and less disk capacity than the DataNodes.
                                                  • D. The NameNode requires more memory and no disk drives.
                                                  • E. The NameNode requires more memory but less disk capacity.
                                                  Answer: E

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                                                  Question #5

                                                  MapReduce V2 (MRv2/YARN) splits which two major functions of the jobtracker into separate daemons?

                                                  • A. Managing file system metadata
                                                  • B. Job coordination between the resource manager and the node manager
                                                  • C. Health status check (heartbeats)
                                                  • D. Job scheduling/monitoring
                                                  • E. MapReduce metric reporting
                                                  • F. Launching tasks
                                                  • G. Managing tasks
                                                  • H. Resource management
                                                  Answer: D,H

                                                  Explanation: Only visible for ValidVCE members. You can sign-up / login (it's free).

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