HDP Certified Administrator (HDPCA) Practice Exam

The HDP Certified Administrator (HDPCA) certification from Hortonworks certifies your skills in managing and administering Hadoop clusters within the Hortonworks Data Platform (HDP). The certification assess your skills to configure, secure, monitor, and troubleshoot clusters, showcasing expertise in handling real-world tasks related to Hadoop system administration. The HDPCA credential is recognized globally to perform tasks in an HDP environment, proving their competence in managing large-scale data processing and storage systems.
Why is HDP Certified Administrator (HDPCA) important?

• Validates expertise in administering Hadoop environments, specifically within the Hortonworks Data Platform.
• Demonstrates proficiency in configuring and managing Hadoop clusters for data storage and processing.
• Ensures knowledge of key security protocols and best practices for data protection within HDP.
• Recognizes troubleshooting abilities for efficient cluster management.
• Supports organizations in hiring professionals capable of maintaining and optimizing HDP clusters for data analytics.

Who should take the HDP Certified Administrator (HDPCA) Exam?

• Hadoop Administrators
• Big Data Engineers
• System Administrators
• Data Engineers
• Cloud Infrastructure Administrators
• IT Operations Specialists
• Database Administrators (DBAs) with interest in big data
• Data Platform Engineers
• Analytics Infrastructure Engineers
• Cloud Operations Engineers

Skills Evaluated

Candidates taking the certification exam on the HDP Certified Administrator (HDPCA) is evaluated for the following skills:

• Install and configure Hortonworks Data Platform clusters.
• Managing Hadoop ecosystem components like HDFS, YARN, and MapReduce.
• Monitoring, securing, and optimizing cluster performance.
• Troubleshooting and problem-solving cluster issues.
• Data ingestion and cluster backup strategies.
• Security management for HDP clusters, including Kerberos configuration.

HDP Certified Administrator (HDPCA) Certification Course Outline
The HDP Certified Administrator (HDPCA) Certification covers the following topics -

Module 1. Installation

• Installing Ambari Server from the Internet

• Using Ambari Server to install Ambari Agents on multiple nodes

• Using Ambari Server to install HDP services onto multiple nodes

Module 2. High Availability

• Using Ambari Server to install HA for NameNode

• Using Ambari Server to install HA for ResourceManager

• Using Ambari Server to install HA for HiveServer2 and Metastore

• Using Ambari Server to configure rack awareness

Module 3. Configuration

• Changing the HDFS data block configurations of HDFS

• Using Cloudera documentation change the NameNode Java heap size per sizing recommendations

• Changing the container configurations for HDFS

• Adding or deleting a new service to the HDP cluster

• Installing and configuring Ranger

• Installing and configuring Knox Gateway

Module 4. Users

• Manual configure users and groups in Ambari server

• Using Linux commands to add users and groups

Module 5. Incidents

• Changing thresholds on alerts

• Creating alert groups and assign alerts to the alert groups

• Creating notifications and assign notifications to the alert groups

• Responding to an incidents by determining the most recent changes

• Comparing and contrast previous configurations to the current configurations

• Where appropriate roll back a change to the previous known state

• Restarting an HDP service to ensure the configuration is deployed to the daemon

• Identifying misconfigurations on a HDP service and correct these to return the service to operations

Module 6. Capacity

• Adding a new node to an existing cluster

• Rebalancing a HDP cluster after expanding capacity

Module 7. Resources

• Creating a YARN queue and configure the minimum guaranteed and max allowed capacity

• Assigning users and groups to YARN queues

• Assigning default queue mappings to YARN queues

• Limiting the number of jobs in a YARN queue

• Sharing a YARN queue between users

• Assigning different schedulers to a YARN queue

Module 8. Maintenance

• Following the recommended practice to shutdown a worker to facilitate maintenance on the OS

• Using the hdfs dfs command to create and delete directories

• Using the hdfs dfs command to add and remove data into HDFS directories

• Using hdfs fsck command to determine block count

• Using hdfs dfsadmin command to report dfs data availability on all worker node

Module 9. Backups

• Creating a snapshot of a HDFS directory

• Copying a snapshot from one HDP cluster to a second HDP cluster

• Recovering a snapshot

• Deleting a snapshot