PM-325: Project Management Professional (PMP) Exam Preparation

Course Overview:

This course is developed for those individuals seeking to pass the Project Management Institute’s PMP certification exam, as well as any individual who has attended any Project Management Certification program in the past and needs to brush up on the material needed to pass the PMP exam.

Attendees to PM-325: Project Management Professional (PMP) Exam Preparation will receive official PMI (Project Management Institute) course materials and expert instruction from an official PMI Instructor.

TechNow Inc. is an official Authorized Training Partner of The Project Management Institute (PMI).

 

Dates/Locations:

No Events

Duration: 5 Days

Course Objectives:

  • Project Initiation
  • Examining the Project Management Framework
  • Examining the Project Management Processes
  • Implementing Project Integration Management
  • Managing the Project Scope
  • Introducing Project Time Management
  • Introducing Project Cost Management
  • Introducing Project Quality Management
  • Introducing Project Human Resource Management
  • Introducing Project Communications Management
  • Introducing Project Risk Management
  • Introducing Project Procurement Management
  • PMP Code of Professional Conduct

Prerequisites:

A Bachelor’s degree & 4,500 hours of project management experience over 3 years/36 months.

OR

7,500 hours of project management experience over 5 years/60 months (if NO degree).

AND

Complete & submit the PMP certification application directly to PMI

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TN-430: Elasticsearch Engineer (ELK)

Course Overview:

Getting started with the Elastic Stack (ELK), optimizing search performance and building efficient clusters. Ingest and process data, writing complex search requests and response utilization, scaling of clusters up or down, managing indices in large clusters and multiple clusters, management of clusters and troubleshooting recommendations.

Attendees to TN-430: Elasticsearch Engineer (ELK) will receive TechNow approved course materials, expert instruction, and prepare you to take ELK exam.

 

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Dates/Locations:

No Events

Duration: 5 Days

Course Outline:

Data Management

  • Define an index that satisfies a given set of requirements
  • Define and use an index template for a given pattern that satisfies a given set of requirements
  • Define and use a dynamic template that satisfies a given set of requirements
  • Define an Index Lifecycle Management policy for a time-series index
  • Define an index template that creates a new data stream

Searching Data

  • Write and execute a search query for terms and/or phrases in one or more fields of an index
  • Write and execute a search query that is a Boolean combination of multiple queries and filters
  • Write an asynchronous search
  • Write and execute metric and bucket aggregations
  • Write and execute aggregations that contain sub-aggregations
  • Write and execute a query that searches across multiple clusters
  • Write and execute a search that utilizes a runtime field

Developing Search Applications

  • Highlight the search terms in the response of a query
  • Sort the results of a query by a given set of requirements
  • Implement pagination of the results of a search query
  • Define and use index aliases
  • Define and use a search template

Data Processing

  • Define a mapping that satisfies a given set of requirements
  • Define and use a custom analyzer that satisfies a given set of requirements
  • Define and use multi-fields with different data types and/or analyzers
  • Use the Reindex API and Update By Query API to reindex and/or update documents
  • Define and use an ingest pipeline that satisfies a given set of requirements, including the use of Painless to modify documents
  •   Define runtime fields to retrieve custom values using Painless scripting

Cluster Management

  • Diagnose shard issues and repair a cluster’s health
  • Backup and restore a cluster and/or specific indices
  • Configure a snapshot to be searchable
  • Configure a cluster for cross-cluster search
  • Implement cross-cluster replication

 

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