CloudThat's Blog
www.cloudthat.com
  • AWS
  • Azure
  • AI/ML
  • Data Analytics
  • DevOps
  • GCP
  • Cybersecurity
  • Test Prep
  • Training
  • Consulting

CloudThat CloudThat

How to prepare for Microsoft Azure certification AI-100: Designing and Implementing an Azure AI Solution

March 11, 2019 | Comments(2) |

Microsoft recently announced AI certification named Designing and Implementing an Azure AI Solution (AI-100).

Expected date of release is 15th March 2019 however you can still attempt it in beta.

Microsoft Certified Associate - AI 100

What is AI-100 Certification all about?

AI-100 Certification is for engineers who have intermediate to expert level understanding of Machine Learning and are responsible for deploying end-to-end AI solutions on Azure using various AI & ML services.

Certification Pattern:

Certification Pattern AI 100

There were 62 questions and 220 minutes to solve them. This time slot also included 20-30 minutes for reading the instructions.

My Experience:

  1. AI-100 Certification is a test to check your ability to use Azure AI services in a solution. It is expected from the candidate to be able to design an end-to-end solution from the point of gathering the data to finally displaying or storing the result after Machine Learning.
  2. Certification had questions from Stream Analytics, Data Factory, Azure ML Studio, Bot Service, Event Hub, Azure IoT Hub, Azure IoT Edge, Logic Apps, Function, Azure ML Pipeline, Azure Notebook, Cognitive Services, Storage Account, SQL Data Warehouse, HDInsight and Data Bricks. Also, unlike administrator series, there were no labs in AI-100.
  3. Knowledge of Machine Learning is a prerequisite as many of the questions were framed like:
    • “You are responsible for deploying CNN model …”
    • “You are deploying image processing solution…”
    • “You are deploying this… deep learning solution”
  1. Got a case study on Bot Service integration with Azure App services.

Type of Questions

You can expect following types of questions:

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

Note: Read instructions carefully as for some questions you cannot go back and review the answers.

What to expect & prepare for:

Topic breakage

  • Analyze Solution Requirements (20–25%)
  • Design Solutions (30–35%)
  • Integrate AI Models into Solutions (25–30%)
  • Deploy and Manage Solutions (20–25%)

How to prepare:

There is nothing better than official Azure documentation & Microsoft learn. Microsoft learn contains free hands-on labs. For AI-100 all the labs on MS learn are listed here.

CloudThat also has a course for this now, which I will be delivering. If you want to fast-track your certification journey, you can join this course. For more details kindly check following course details:

Microsoft Azure Certification BootCamp for AI-100 (Designing and Implementing an Azure AI Solution)

If you have any comment or question, then do write it in the comment.


2 Responses to “How to prepare for Microsoft Azure certification AI-100: Designing and Implementing an Azure AI Solution”

  1. Arbind July 22, 2019

    Can you please tell me about the questions pattern, questions, etc.?

    Reply
  2. Akshay October 14, 2020

    This was very helpful. Thanks to the author

    Reply

Leave a Reply to Arbind

Click here to cancel reply.

Benefit from our new offering 'Azure Mastery Pass' – One pass to attend all our Microsoft Azure courses for 1 year & get trained from best of our Consultants and Microsoft Certified Trainer.



Register Your Interest Now! Please fill out below details & we will revert within 24 hours.

Thank you for your interest.
Oops something went wrong.

Follow us for latest articles

Popular Posts

  • Top Cloud Service Providers in 2021: AWS, Microsoft Azure and Google Cloud Platform
  • Tips to Crack AZ-900: Microsoft Azure Fundamentals Exams
  • Trust Neither a Zero Nor a One! Zero Trust Model Explained (without jargon)
  • Site-to-Site VPN connection between AWS & Azure
  • Sample Questions for Amazon Web Services Certified Solution Architect Certification (AWS Architect Certification) – Part I

Recent Posts

  • Detailed Guide to Accelerate Data Analytics Engine with Apache Spark – Part 1
  • EASY STEPS FOR AWS S3 CROSS-ACCOUNT REPLICATION
  • Security Practices for Designing AWS Multi-Tenant SaaS Environment
  • Beginner’s Guide to Git: The Ultimate Version Control System
  • The Tech Talent Shortage: Its Impact on Businesses and the Solution

Recent Comments

  • Vaishali on Top 5 Popular DevOps Tools in 2022
  • smith on Blockchain Technology And Cryptocurrency Overview, Benefits, And Use cases
  • James Taylor on Blockchain Technology And Cryptocurrency Overview, Benefits, And Use cases
  • vasanth on Simplify Digital Twins Construction with AWS IoT TwinMaker
  • Anusha Shanbhag on Top Amazon AI Specialized Services: Machine Learning, Artificial Intelligence, and more – Part 2

Archives

Categories

  • AI
  • AI/ML
  • Analysis
  • Analytics
  • API
  • Apps Development
  • Artificial Intelligence
  • Artificial Intelligence and Machine Learning
  • Automation
  • AWS
  • AWS Amplify
  • AWS EKS
  • AWS PinPoint
  • AWS S3
  • AWS Thunderbird
  • AWS Transit Gateway
  • AWS VPC
  • Azure
  • Azure Machine Learning
  • Big Data
  • Blockchain
  • Certification BootCamp
  • Cloud Computing
  • Cloud Data Science
  • Cloud Migration
  • Cloud Native Application Development
  • Cloud security
  • Comparision
  • Containerization
  • Cryptocurrency
  • Cybersecurity
  • Data Analytics
  • DevOps
  • Docker
  • Google Cloud (GCP)
  • Hadoop
  • Identity Access and Management
  • Industry Stories
  • Internet of Things (IoT)
  • Interviews
  • Kubernetes
  • Machine Learning
  • Microsoft 365
  • Microsoft Azure
  • ML
  • MongoDB
  • News
  • NoSQL
  • OpenStack
  • Power Platforms
  • Private Cloud
  • Project Management
  • Tutorials
  • Uncategorized
  • vCloud Air
  • Videos
  • VMware
  • Windows

Like us for latest articles

© 2022 CloudThat Technologies. All rights reserved.