Unleash the power of Artificial Intelligence with our AI-900 Practice Tests – your ultimate toolkit for conquering the Microsoft Certified: Azure AI Fundamentals (AI-900) exam. Whether you're a seasoned pro ready to validate your AI expertise or a passionate learner eager to dive into the world of intelligent technologies, our practice tests are the game-changer you've been searching for.
The Microsoft Azure AI Fundamentals (AI-900) Exam covers latest exam topics as per exam updates as of November 2, 2023 -
Domain 1 - Understanding Artificial Intelligence workloads and considerations (15–20%)
Domain 2 - Understanding fundamental principles of machine learning on Azure (20–25%)
Domain 3 - Understanding features of computer vision workloads on Azure (15–20%)
Domain 4 - Understanding features of Natural Language Processing (NLP) workloads on Azure (15–20%)
Domain 5 - Understanding features of generative AI workloads on Azure (15–20%)
Why Opt for Our AI-900 Practice Tests:
All-Encompassing Content: Dive into a wealth of AI knowledge as our practice tests comprehensively cover every aspect of the AI-900 exam. From foundational concepts to hands-on scenarios, we've crafted a dynamic array of questions that mirror the real-world challenges of AI.
Realistic Challenges: Immerse yourself in practical, real-world AI scenarios, bridging the gap between theory and application. Our scenarios aren't just exam prep – they're your ticket to mastering AI skills that translate seamlessly to professional success.
Insightful Explanations: Gain a deep understanding of each question with detailed explanations that go beyond just correct answers. Grasp the nuances of why certain choices shine in diverse AI scenarios, enriching your knowledge and problem-solving skills.
Seamless Learning Experience: Elevate your learning journey with a user-friendly platform and an intuitive interface. Track your progress, identify strengths, and pinpoint areas for growth. Tailor your study approach to your unique learning style and pace.
Confidence Building: Banish exam jitters by acclimating yourself to the exam format, question types, and time constraints. Our practice tests aren't just preparatory – they're confidence-building companions, ensuring you walk into the exam room armed with the assurance of success.
Lifetime Accessibility: Enjoy the freedom of lifetime access to our AI-900 Practice Tests. Your AI mastery journey is ongoing, and with our tests, you have the flexibility to revisit and reinforce your knowledge whenever and wherever you please.
Who Stands to Gain:
Professionals aiming to validate their AI prowess with the AI-900 certification.
Enthusiastic learners poised to venture into the thrilling realm of Artificial Intelligence.
Individuals keen on amplifying their career prospects by mastering fundamental AI concepts.
Don't just dream about AI success – seize it with our AI-900 Practice Tests! Enroll now and empower yourself with the skills that define the future. Your journey to AI excellence begins here!
Unleash the power of Artificial Intelligence with our AI-900 Practice Tests – your ultimate toolkit for conquering the Microsoft Certified: Azure AI Fundamentals (AI-900) exam. Whether you're a seasoned pro ready to validate your AI expertise or a passionate learner eager to dive into the world of intelligent technologies, our practice tests are the game-changer you've been searching for.
The Microsoft Azure AI Fundamentals (AI-900) Exam covers latest exam topics as per exam updates as of November 2, 2023 -
Domain 1 - Understanding Artificial Intelligence workloads and considerations (15–20%)
Domain 2 - Understanding fundamental principles of machine learning on Azure (20–25%)
Domain 3 - Understanding features of computer vision workloads on Azure (15–20%)
Domain 4 - Understanding features of Natural Language Processing (NLP) workloads on Azure (15–20%)
Domain 5 - Understanding features of generative AI workloads on Azure (15–20%)
Why Opt for Our AI-900 Practice Tests:
All-Encompassing Content: Dive into a wealth of AI knowledge as our practice tests comprehensively cover every aspect of the AI-900 exam. From foundational concepts to hands-on scenarios, we've crafted a dynamic array of questions that mirror the real-world challenges of AI.
Realistic Challenges: Immerse yourself in practical, real-world AI scenarios, bridging the gap between theory and application. Our scenarios aren't just exam prep – they're your ticket to mastering AI skills that translate seamlessly to professional success.
Insightful Explanations: Gain a deep understanding of each question with detailed explanations that go beyond just correct answers. Grasp the nuances of why certain choices shine in diverse AI scenarios, enriching your knowledge and problem-solving skills.
Seamless Learning Experience: Elevate your learning journey with a user-friendly platform and an intuitive interface. Track your progress, identify strengths, and pinpoint areas for growth. Tailor your study approach to your unique learning style and pace.
Confidence Building: Banish exam jitters by acclimating yourself to the exam format, question types, and time constraints. Our practice tests aren't just preparatory – they're confidence-building companions, ensuring you walk into the exam room armed with the assurance of success.
Lifetime Accessibility: Enjoy the freedom of lifetime access to our AI-900 Practice Tests. Your AI mastery journey is ongoing, and with our tests, you have the flexibility to revisit and reinforce your knowledge whenever and wherever you please.
Who Stands to Gain:
Professionals aiming to validate their AI prowess with the AI-900 certification.
Enthusiastic learners poised to venture into the thrilling realm of Artificial Intelligence.
Individuals keen on amplifying their career prospects by mastering fundamental AI concepts.
Don't just dream about AI success – seize it with our AI-900 Practice Tests! Enroll now and empower yourself with the skills that define the future. Your journey to AI excellence begins here!
The AI Associate Certification provided by Salesforce is a new certification launched in the fall of 2023. AI is one of the 3 core pillars for AI and is very relevant moving into the future. This exam is shorter and easier compared to many of Salesforce's certification exams.
My goal is to help you prepare for and feel confident to pass this exam. When I first began my Salesforce career I often wondered how to best pass Salesforce certification exams and heavily leaned on Trailhead, which is a great resource, but practice tests are a good confidence builder and help to determine what you need to go back and study again.
This practice test comes primarily from the content that was provided in Salesforce's AI Associate Trailmix on Trailhead and personal experience preparing for and passing the certification exam. These questions are not exact questions from the exam but cover many of the areas covered on the exam.
This certification likely will not land you a job all by itself but will be useful in combination with other Salesforce certifications. Visit the Salesforce Help Club website for guidance on your Salesforce learning or certification journey.
This practice test is not made by or affiliated with Salesforce the organization, I put this content together of my own accord.
I hope this helps you in your certification journey!
The AI Associate Certification provided by Salesforce is a new certification launched in the fall of 2023. AI is one of the 3 core pillars for AI and is very relevant moving into the future. This exam is shorter and easier compared to many of Salesforce's certification exams.
My goal is to help you prepare for and feel confident to pass this exam. When I first began my Salesforce career I often wondered how to best pass Salesforce certification exams and heavily leaned on Trailhead, which is a great resource, but practice tests are a good confidence builder and help to determine what you need to go back and study again.
This practice test comes primarily from the content that was provided in Salesforce's AI Associate Trailmix on Trailhead and personal experience preparing for and passing the certification exam. These questions are not exact questions from the exam but cover many of the areas covered on the exam.
This certification likely will not land you a job all by itself but will be useful in combination with other Salesforce certifications. Visit the Salesforce Help Club website for guidance on your Salesforce learning or certification journey.
This practice test is not made by or affiliated with Salesforce the organization, I put this content together of my own accord.
I hope this helps you in your certification journey!
The Azure AI-102 Practice Tests are designed to provide comprehensive, targeted preparation for the Microsoft Certified: Azure AI Engineer Associate (AI-102) certification exam. This course focuses on assessing your exam readiness through a series of practice tests, ensuring you are well equipped to face the challenges presented by certification.
Features of Practice Tests AI-102:
Complete exam coverage: The course covers all key domains and topics outlined in the AI-102 exam, reflecting the actual exam structure to provide an authentic testing experience.
234 Carefully Crafted Questions: A collection of 234 practice questions, reviewed for accuracy and relevance, to simulate the variety and complexity of scenarios you may encounter on the real exam.
Lifetime Access: Participants enjoy lifetime access to course content, enabling ongoing review and practice at their own pace.
Detailed explanations: Each question is accompanied by detailed explanations and justifications, helping you understand the correct answers and providing insights into the reasoning behind them.
Realistic exam environment: Practice tests are designed to replicate the exam environment, ensuring you become familiar with the format, time constraints, and question types.
Microsoft Azure AI Solution AI-102 Course Outline
The Designing and Implementing a Microsoft Azure AI Solution (AI-102) Exam covers the latest exam updates and topics as per exam updates as on October 31, 2023 -
Plan and manage an Azure AI solution (15–20%): In this domain, you can get overview of the following topics such as selection of appropriate Azure AI service , configuration of security for Azure AI services, Creation and management of Azure AI service, deployment of Azure AI services and Creation of solutions to detect anomalies and improvise the content.
Implement decision support solutions (10–15%): In this part, you will get the information on how to analyze the images and extract text from images, image classification and object detection by using Vision service and process videos.
Implement computer vision solutions (15–20%): It might cover up the topics such as analyzing text, processing speech, translating language, building and managing a language understanding model.
Implement natural language processing solutions (30–35%) : You can be familiar with the key concepts such as Implement a Cognitive Search solution and application of AI enrichment skills to an indexer pipeline.
Implement generative AI solutions (10–15%) : You might get into the topics in this domain such as design and implement conversation flow and building a conversational bot
Implement knowledge mining and document intelligence solutions (10–15%) : You can be familiar with concepts such as, Implementing an Azure Cognitive Search solution & Implementing an Azure AI Document Intelligence solution
See some advantages:
Cross-domain performance analysis
Identification of strengths and weaknesses
Strategies for exam success
Lifetime access and continuous learning:
Unlimited access to practice tests for continuous improvement
Additional resources and references for further study
Access to a community forum for discussion and collaboration
Who should register:
Individuals preparing for the AI-102 Azure AI Engineer Associate certification exam
AI professionals looking to validate their skills and advance their careers with Microsoft Azure AI technologies
Result:
Upon completion of the Azure AI-102 practice test prep course, participants will be well-prepared to take the AI-102 certification exam, having gained the knowledge, confidence, and skills necessary to succeed in their certification journey.
The Azure AI-102 Practice Tests are designed to provide comprehensive, targeted preparation for the Microsoft Certified: Azure AI Engineer Associate (AI-102) certification exam. This course focuses on assessing your exam readiness through a series of practice tests, ensuring you are well equipped to face the challenges presented by certification.
Features of Practice Tests AI-102:
Complete exam coverage: The course covers all key domains and topics outlined in the AI-102 exam, reflecting the actual exam structure to provide an authentic testing experience.
234 Carefully Crafted Questions: A collection of 234 practice questions, reviewed for accuracy and relevance, to simulate the variety and complexity of scenarios you may encounter on the real exam.
Lifetime Access: Participants enjoy lifetime access to course content, enabling ongoing review and practice at their own pace.
Detailed explanations: Each question is accompanied by detailed explanations and justifications, helping you understand the correct answers and providing insights into the reasoning behind them.
Realistic exam environment: Practice tests are designed to replicate the exam environment, ensuring you become familiar with the format, time constraints, and question types.
Microsoft Azure AI Solution AI-102 Course Outline
The Designing and Implementing a Microsoft Azure AI Solution (AI-102) Exam covers the latest exam updates and topics as per exam updates as on October 31, 2023 -
Plan and manage an Azure AI solution (15–20%): In this domain, you can get overview of the following topics such as selection of appropriate Azure AI service , configuration of security for Azure AI services, Creation and management of Azure AI service, deployment of Azure AI services and Creation of solutions to detect anomalies and improvise the content.
Implement decision support solutions (10–15%): In this part, you will get the information on how to analyze the images and extract text from images, image classification and object detection by using Vision service and process videos.
Implement computer vision solutions (15–20%): It might cover up the topics such as analyzing text, processing speech, translating language, building and managing a language understanding model.
Implement natural language processing solutions (30–35%) : You can be familiar with the key concepts such as Implement a Cognitive Search solution and application of AI enrichment skills to an indexer pipeline.
Implement generative AI solutions (10–15%) : You might get into the topics in this domain such as design and implement conversation flow and building a conversational bot
Implement knowledge mining and document intelligence solutions (10–15%) : You can be familiar with concepts such as, Implementing an Azure Cognitive Search solution & Implementing an Azure AI Document Intelligence solution
See some advantages:
Cross-domain performance analysis
Identification of strengths and weaknesses
Strategies for exam success
Lifetime access and continuous learning:
Unlimited access to practice tests for continuous improvement
Additional resources and references for further study
Access to a community forum for discussion and collaboration
Who should register:
Individuals preparing for the AI-102 Azure AI Engineer Associate certification exam
AI professionals looking to validate their skills and advance their careers with Microsoft Azure AI technologies
Result:
Upon completion of the Azure AI-102 practice test prep course, participants will be well-prepared to take the AI-102 certification exam, having gained the knowledge, confidence, and skills necessary to succeed in their certification journey.
This learning path is designed for individuals who want to gain a fundamental knowledge of Artificial Intelligence (AI) and Machine Learning (ML) .
In this learning path, you will learn to:
Common AI terminology, including machine learning, deep learning, data science, neural networks etc
OCI AI services and AI infrastructure
Generative AI basics including LLM, GAN, and Transformers
AI and ML best practices
In addition to the job roles mentioned, this learning path is designed to provide individuals with a fundamental knowledge of Artificial Intelligence (AI) and Machine Learning (ML) . Throughout this learning path, you will gain an understanding of common AI terminology, including machine learning, deep learning, data science, neural networks, and more .
You will also explore the Oracle Cloud Infrastructure (OCI) AI services and AI infrastructure, which will enable you to leverage cloud-based tools and resources for AI and ML development . This includes understanding how to utilize OCI AI services for tasks such as image recognition, natural language processing, and predictive analytics .
Furthermore, this learning path covers the basics of generative AI, including concepts such as Language Models (LLMs), Generative Adversarial Networks (GANs), and Transformers . You will learn how these techniques are used in various applications, such as image synthesis and text generation .
Throughout the learning path, you will also gain insights into AI and ML best practices . This includes understanding how to approach data preparation, model training, and evaluation . You will also explore considerations for deploying and scaling AI and ML solutions in production environments .
By completing this learning path, you will have a solid foundation in AI and ML concepts, as well as practical skills in utilizing cloud-based AI services, generative AI techniques, and implementing AI and ML best practices . This knowledge will enable you to pursue various roles in the AI and ML domain, such as data engineer, data scientist, machine learning engineer, or AI solution architect .
This learning path is designed for individuals who want to gain a fundamental knowledge of Artificial Intelligence (AI) and Machine Learning (ML) .
In this learning path, you will learn to:
Common AI terminology, including machine learning, deep learning, data science, neural networks etc
OCI AI services and AI infrastructure
Generative AI basics including LLM, GAN, and Transformers
AI and ML best practices
In addition to the job roles mentioned, this learning path is designed to provide individuals with a fundamental knowledge of Artificial Intelligence (AI) and Machine Learning (ML) . Throughout this learning path, you will gain an understanding of common AI terminology, including machine learning, deep learning, data science, neural networks, and more .
You will also explore the Oracle Cloud Infrastructure (OCI) AI services and AI infrastructure, which will enable you to leverage cloud-based tools and resources for AI and ML development . This includes understanding how to utilize OCI AI services for tasks such as image recognition, natural language processing, and predictive analytics .
Furthermore, this learning path covers the basics of generative AI, including concepts such as Language Models (LLMs), Generative Adversarial Networks (GANs), and Transformers . You will learn how these techniques are used in various applications, such as image synthesis and text generation .
Throughout the learning path, you will also gain insights into AI and ML best practices . This includes understanding how to approach data preparation, model training, and evaluation . You will also explore considerations for deploying and scaling AI and ML solutions in production environments .
By completing this learning path, you will have a solid foundation in AI and ML concepts, as well as practical skills in utilizing cloud-based AI services, generative AI techniques, and implementing AI and ML best practices . This knowledge will enable you to pursue various roles in the AI and ML domain, such as data engineer, data scientist, machine learning engineer, or AI solution architect .
This AI course enables you to get a hang of AI concepts, terminologies, players, job opportunities, etc. It explores options how you as a non technical, non IT person get a foot into the AI Door as a Project Manager or Product Owner. This is a conversational, chit- chat format, informal fun style of teaching that will engage you so that you enjoy it and do not feel pressure of technicalities involved.
The course emphasises that we do not need to be scared of expected job losses that will happen due to AI adoption, but be prepared with a positive mindset to learn AI and not only overcome the loss but positively benefit from the opportunity. The author compares AI boom with the dotcom boom of the late 1990s.
The course discusses the most popular application of AI which is ChatGPT and also educates the professional that complex things such as mathematics and python can be learnt without too much difficulty. The course also introduces the unicorn companies in the space and the kind of job or investment opportunities they might offer. The course also highlights the contributions of the "Magnificent Seven" companies such as Microsoft, Google, Amazon, Nvidia, Tesla, Apple, Meta as major players in the space. The course concludes with a recommendation to get certified as a Microsoft AI Professional by getting AI 900 course from Dr. Sam
This AI course enables you to get a hang of AI concepts, terminologies, players, job opportunities, etc. It explores options how you as a non technical, non IT person get a foot into the AI Door as a Project Manager or Product Owner. This is a conversational, chit- chat format, informal fun style of teaching that will engage you so that you enjoy it and do not feel pressure of technicalities involved.
The course emphasises that we do not need to be scared of expected job losses that will happen due to AI adoption, but be prepared with a positive mindset to learn AI and not only overcome the loss but positively benefit from the opportunity. The author compares AI boom with the dotcom boom of the late 1990s.
The course discusses the most popular application of AI which is ChatGPT and also educates the professional that complex things such as mathematics and python can be learnt without too much difficulty. The course also introduces the unicorn companies in the space and the kind of job or investment opportunities they might offer. The course also highlights the contributions of the "Magnificent Seven" companies such as Microsoft, Google, Amazon, Nvidia, Tesla, Apple, Meta as major players in the space. The course concludes with a recommendation to get certified as a Microsoft AI Professional by getting AI 900 course from Dr. Sam