2019 AI-100  Study Guide | Pass Microsoft MCP AI-100 Exam

About AI-100 Exam

AI-100  Study Guide

what is AI-100?

Microsoft AI-100 Exam Dumps.Azure AI Engineers Association certification.There were 62 questions and 220 minutes to solve them. This time slot also included 20-30 minutes for reading the instructions. This certification applies to Azure AI engineers using cognitive services, machine learning and knowledge mining to build and implement Microsoft AI-100 exam dumps solutions involving natural language processing, speed, computer vision, robotics and agents.

Who should take this exam?

The AI-100 is designed and implemented by the Azure AI-100 dumps free demo Solution Certification exam for Azure AI Engineer candidates with basic statistical, data ethics and data privacy knowledge.

Why to get AI-100 certification?

AI-100: Designing and Implementing Azure AI Solution certification can get more recognition from work and others. The AI-100 exam is the starting point of your IT career.As per the current market trend, IT professionals with knowledge and experienced in Azure are in high demand

Is the AI-100 exam difficult?

As long as you are seriously prepared, it is not too difficult.

Type of Questions

  1. Scenario-based single answer question
  2. One case study with 5 questions
  3. Fill in the blank based drag & drop questions
  4. Multiple choice questions
  5. Arrange in the correct sequence type questions

Preparation

How can I prepare for Azure certifications?

Pass Microsoft AI-100 Exam in First Attempt Guaranteed!

  1. classroom
  2. online training

You can use the geekcert’s dumps to prepare for Azure certification. These courses are designed to achieve the latest exam objectives for Azure certification. We geekcert regularly update these changes and keep track of course objectives. All certifications focus on the latest services.

Knowledge points to master:

Analyze solution requirements

Identify storage solutions May include but is not limited to: Identify the appropriate storage capacity, storage types and storage locations for a solution, determine the storage technologies that the solution should use, identify the appropriate storage architecture for the solution, identify components and technologies required to connect data
Recommend tools, technologies, and processes to meet process flow requirements May include but is not limited to: Select the processing architecture for a solution, select the appropriate data processing technologies, select the appropriate AI-100 exam pdf models and services, identify components and technologies required to connect service endpoints, identify automation requirements
Map security requirements to tools, technologies, and processes May include but is not limited to: Determine processes and regulations needed to conform with data privacy, protection, and regulatory requirements, determine which users and groups have access to information and interfaces, identify appropriate tools for a solution, identify auditing requirements
Select software and services required to support the solution May include but is not limited to: Identify appropriate services/tools for the solution, identify integration points with other Microsoft services

Design solutions

Design an AI solution that includes one or more pipelines May include but is not limited to: Define a workflow process, design a strategy for ingesting data
Design the compute infrastructure to support a solution May include but is not limited to: Define infrastructure types, determine whether to create a GPU-based or CPU-based solution
Design Intelligent Edge solutions May include but is not limited to: Identify appropriate tools for a solution, design solutions that incorporate AI pipeline components on Edge devices
Design data governance May include but is not limited to: Design authentication architecture, design a content moderation strategy, ensure appropriate governance for data, design strategies to ensure the solution meets data privacy and industry standard regulations
Design solutions that adhere to cost constraints May include but is not limited to: Choose a cost-effective data topology, configure model processing options to meet constraints, select APIs that meet business constraints

Integrate AI models into solutions

Orchestrate an AI workflow May include but is not limited to: Define and develop AI-100 Questions pipeline stages, manage the flow of data through solution components, implement data logging processes, define and construct interfaces for custom AI services, integrate AI models with other solution components, design solution endpoints, develop streaming solutions
Integrate AI services with solution components May include but is not limited to: Set up prerequisite components and input datasets to allow consumption of Cognitive Services APIs, configure integration with Azure Services, set up prerequisite components to allow connectivity with Bot Framework
Integrate Intelligent Edge with solutions May include but is not limited to: Connect to IoT data streams, design pre-processing and processing strategy for IoT data, implement Azure Search in a solution

Deploy and manage solutions


Provision required cloud, on-premises, and hybrid environments

May include but is not limited to: Create and manage hardware and software environments, deploy components and services required to benchmark and monitor AI-100 study guide solutions, create and manage container environments

Validate solutions to ensure compliance with data privacy and security requirements
1.May include but is not limited to: Manage access keys, manage certificates, manage encryption keys
Monitor and evaluate the AI environment
2.May include but is not limited to: Identify differences between KPIs and reported metrics and determine root causes for differences, identify differences between expected and actual workflow throughput, maintain the AI solution for continuous improvement

Useful links for this exam:

Tips To Pass Microsoft MCP AI-100 Exam

1.Find a good place to learn, minimize interference, have the best equipment, reliable PC is very important.

2.Note-Taking.Microsoft AI-100 practice test.Create a new notebook at the beginning of the study and record important knowledge points.

3.Time Management.There are case study questions that can be time consuming because they provide a lot of information that you need to filter. Reasonable management time is important and the exam time is limited.…