The HDP Operations: Administration Foundation Training is recommended for system administrators who are responsible for installation, management and configuration of the Hortonworks Data Platform (HDP). The training also provides deep knowledge and hands-on training in utilizing Apache Ambari as the operational management platform for HDP.
Prerequisites for this training
The recommended prerequisite for this course is experience and working in hybrid data platform. However, fundamental knowledge of Linux environment is also needed.
Who should attend this course?
This training is intended for IT administrators along with operators who wanted to enhance their skill in managing and installing depended hybrid data platform in Linux utilizing Ambari.
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What you will learn
Installing Hortonworks Data Platform (HDP).
Working in HDP environment, Hadoop and Big data.
Managing Groups/Ambari users along with other Hadoop services.
Managing HDFS storage.
Configuring HDFS Transparent Data Encryption, YARN Resource Manager and HDFS Storage.
Configuring the YARN Modify Cluster Nodes & Capacity Scheduler.
Configuring the YARN Rack Awareness, availability and HDFS.
Protecting, backup and monitoring a Cluster.
Describe Apache Hadoop
Summarize the Purpose of the Hortonworks Data Platform Software Frameworks
List Hadoop Cluster Management Choices
Describe Apache Ambari
Identify Hadoop Cluster Deployment Options
Plan for a Hadoop Cluster Deployment
Perform an Interactive HDP Installation using Apache Ambari
Install Apache Ambari
Describe the Differences Between Hadoop Users, Hadoop Service Owners, and Apache Ambari Users
Manage Users, Groups and Permissions
Identify Hadoop Configuration Files
Summarize Operations of the Web UI Tool
Manage Hadoop Service Configuration Properties Using the Apache Ambari Web UI
Describe the Hadoop Distributed File System (HDFS)
Perform HDFS Shell Operations
Protect Data Using HDFS Access Control Lists (ACLs)
Setting Up the Environment
Managing Ambari Users and Groups
Managing Hadoop Services
Using HDFS Storage
Using HDFS Access Control Lists
Describe HDFS Architecture and Operation
Manage HDFS using Ambari Web, NameNode and DataNode UIs
Manage HDFS using Command-line Tools
Summarize the Purpose and Benefits of Rack Awareness
Configure Rack Awareness
Summarize Hadoop Backup Considerations
Enable and Manage HDFS Snapshots
Copy Data Using DistCP
Use Snapshots and DistCP Together
Summarize the Purpose and Operation of HDFS Centralized Caching
Configure HDFS Centralized Cache
Define and Manage Cache Pools and Cache Directives
Identify HDFS NFS Gateway Use Cases
Recall HDFS NFS Gateway Architecture and Operation
Install and Configure an HDFS NFS Gateway
Configure an HDFS NFS Gateway Client
Managing HDFS Storage
Managing HDFS Quotas
Configuring Rack Awareness
Managing HDFS Snapshots
Configuring HDFS Storage Policies
Configuring HDFS Centralized Cache
Configuring an NFS Gateway
Describe YARN Resource Management
Summarize YARN Architecture and Operation
Identify and Use YARN Management Options
Summarize YARN Response to Component Failure
Understand the Basics of Running Simple YARN Applications
Summarize the Purpose and Operation of the YARN Capacity Scheduler
Configure and Manage YARN Queues
Control Access to YARN Queues
Summarize the Purpose and Operation of YARN Node Labels
Describe the Process used to Create Node Labels
Describe the Process Used to Add, Modify and Remove Node Labels
Configure Queues to Access Node Label Resources
Run Test Jobs to Confirm Node Label Behavior
Managing YARN Using Ambari
Managing YARN Using CLI
Running Sample YARN Applications
Setting Up for Capacity Scheduler
Managing YARN Containers and Queues
Managing YARN ACLs and User Limits
Working with YARN Node Labels
Summarize the Purpose of NameNode HA
Configure NameNode HA Using Ambari
Summarize the Purpose of ResourceManager HA
Configure ResourceManager HA using Apache Ambari
Identify Reasons to Add, Replace and Delete Worker Nodes
Demonstrate How to Add a Worker Node
Configure and Run the HDFS Balancer
Decommission and Re-commission a Worker Node
Describe the Process of Moving a Master Component
Summarize the Purpose and Operation of Apache Ambari Metrics
Describe the Features and Benefits of the Apache Ambari Dashboard
Summarize the Purpose and Benefits of Apache Ambari Blueprints
Recall the Process Used to Deploy a Cluster Using Ambari Blueprints
Recall the Definition of an HDP Stack and Interpret its Version Number
View the Current Stack and Identify Compatible Apache Ambari Software Versions
Recall the Types of Methods and Upgrades Available in HDP
Describe the Upgrade Process, Restrictions and Pre-upgrade Checklist
Perform an Upgrade Using the Apache Ambari Web UI
Configuring NameNode HA
Configuring Resource Manager HA
Adding, Decommissioning and Re-commissioning a Worker Node
Configuring Ambari Alerts
Deploying an HDP Cluster Using Ambari Blueprints
Performing an HDP Upgrade â€“ Express
It is programmed for four days.
HDP certifications are hands on, performance-based exams. The candidates are required to complete the set of tasks. Before taking on the exam, you must run a 'Speed Test' to ensure that you have all the recommended requirements like 20/5 Mbps (download/upload) speed, 8-16 GB RAM.
The exam is conducted on Hortonworks Data Platform 2.6 installed with Ambari 2.6 and Hortonworks Data Platform 3.0 managed with Ambari 2.7.
HDP Certified Professionals get a digital badge that can be proudly displayed on resume, symptom profiles, email signature etc.
You should not use VPN duirng the exam. VPN will route the traffic to your corporate network as well as out of corporate firewall harming your ability to remain connected with exam environment; it may also increase the latency and technical issues.
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Official Training Course Student Handbook
Pre and Post assessments/evaluations
Collaboration with classmates (not available for a self-paced course)
Real-world knowledge activities and scenarios
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Knowledge acquisition and exam-oriented
Interactive online course.
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