Last Update: Oct 2023
Hi talent!
Welcome to this CSSLP 2023 Sep New syllabus, Mock Exams course ! This course is prepared for the best of your value and the best of your interest!
This practice test covers will a large number of CSSLP (2023 Sep) Mock Exam Questions that simulate the real-live-exam for you to learn the topics in-depth. The practice tests are crafted from topics across the 8 critical domains for the CSSLP (2023 Sep) certificate. You will not only go through a journey to acquire knowledge through practicing with the the Mock Exams questions for the CSSLP exam, you will learn all the exam skills by experiencing all different MC question formats I have especially crafted for you.
**The questions included in this course have been thoroughly analyzed with the latest trends in the CSSLP (2023 Sep) exam**
Previous CSSLP Domain Name | New CSSLP Domain Name
Domain 1: Secure Software Concepts | Domain 1: Secure Software Concepts
Domain 2: Secure Software Requirements | Domain 2: Secure Software Lifecycle Management
Domain 3: Secure Software Architecture and Design | Domain 3: Secure Software Requirements
Domain 4: Secure Software Implementation | Domain 4: Secure Software Architecture and Design
Domain 5: Secure Software Testing | Domain 5: Secure Software Implementation
Domain 6: Secure Software Lifecycle Management | Domain 6: Secure Software Testing
Domain 7: Secure Software Deployment, Operations and Maintenance | Domain 7: Secure Software Deployment, Operations, Maintenance
Domain 8: Secure Software Supply Chain | Domain 8: Secure Software Supply Chain
Major Domains | Weightings (Percentage)
Domain 1: Secure Software Concepts | 12%
Domain 2: Secure Software Lifecycle Management | 11%
Domain 3: Secure Software Requirements | 13%
Domain 4: Secure Software Architecture and Design | 15%
Domain 5: Secure Software Implementation | 14%
Domain 6: Secure Software Testing | 14%
Domain 7: Secure Software Deployment, Operations, Management | 11%
Domain 8: Secure Software Supply Chain | 10%
Total | 100%
**This practice test has been made with reference to the official guidelines and the exam weight in each domain**
Why Becoming a CSSLP – Certified Secure Software Lifecycle Professional
Earning the globally recognized CSSLP secure software development certification is a proven way to build your career and better incorporate security practices into each phase of the software development lifecycle (SDLC).
CSSLP certification recognizes leading application security skills. It shows employers and peers you have the advanced technical skills and knowledge necessary for authentication, authorization and auditing throughout the SDLC using best practices, policies and procedures established by the cybersecurity experts at ISC2.
Prove your skills, advance your career, and gain support from a community of cybersecurity leaders here to help you throughout your professional journey.
Beside doing the practice test, I would suggest you to do as much simulation test / question as you could to get your self well prepared for the exam. More practice test will be released soon. Stay tuned and Good Luck.
CSSLP Examination Information
Length of exam | 3 hours
Number of items | 125
Item format | Multiple choice
Passing grade | 700 out of 1000 points
Exam availability | English
Testing center | Pearson VUE Testing Center
Something about the new syllabus
Q: When will these changes go into effect?
The changes will begin on September 15, 2023.
Q: In what language will the refreshed CSSLP exam be available?
The refreshed CSSLP exam will be available in English only.
Are you Ready to get CSSLP ?
One more thing, Walter's career tips:
If you are pursuing your career paths in External / Internal Auditor, Tech. Risk, Cybersecurity, you should consider taking following Certifications to equip yourself and demonstrate your competency to your employers.
ISACA | ISC2 | CSA | IAPP | IIA | ACAMS |
CISA | CISSP | CCSK | CIPT | CIA | CAMS |
CISM | CCSP | | CIPP |
CRISC | SSCP | | CIPM |
CGEIT | CGRC | | CDPO |
CDPSE | CSSLP |
CCAK | CISSP-ISSAP |
COBIT | CISSP-ISSMP |
| CISSP-ISSEP |
Last Update: Oct 2023
Hi talent!
Welcome to this CSSLP 2023 Sep New syllabus, Mock Exams course ! This course is prepared for the best of your value and the best of your interest!
This practice test covers will a large number of CSSLP (2023 Sep) Mock Exam Questions that simulate the real-live-exam for you to learn the topics in-depth. The practice tests are crafted from topics across the 8 critical domains for the CSSLP (2023 Sep) certificate. You will not only go through a journey to acquire knowledge through practicing with the the Mock Exams questions for the CSSLP exam, you will learn all the exam skills by experiencing all different MC question formats I have especially crafted for you.
**The questions included in this course have been thoroughly analyzed with the latest trends in the CSSLP (2023 Sep) exam**
Previous CSSLP Domain Name | New CSSLP Domain Name
Domain 1: Secure Software Concepts | Domain 1: Secure Software Concepts
Domain 2: Secure Software Requirements | Domain 2: Secure Software Lifecycle Management
Domain 3: Secure Software Architecture and Design | Domain 3: Secure Software Requirements
Domain 4: Secure Software Implementation | Domain 4: Secure Software Architecture and Design
Domain 5: Secure Software Testing | Domain 5: Secure Software Implementation
Domain 6: Secure Software Lifecycle Management | Domain 6: Secure Software Testing
Domain 7: Secure Software Deployment, Operations and Maintenance | Domain 7: Secure Software Deployment, Operations, Maintenance
Domain 8: Secure Software Supply Chain | Domain 8: Secure Software Supply Chain
Major Domains | Weightings (Percentage)
Domain 1: Secure Software Concepts | 12%
Domain 2: Secure Software Lifecycle Management | 11%
Domain 3: Secure Software Requirements | 13%
Domain 4: Secure Software Architecture and Design | 15%
Domain 5: Secure Software Implementation | 14%
Domain 6: Secure Software Testing | 14%
Domain 7: Secure Software Deployment, Operations, Management | 11%
Domain 8: Secure Software Supply Chain | 10%
Total | 100%
**This practice test has been made with reference to the official guidelines and the exam weight in each domain**
Why Becoming a CSSLP – Certified Secure Software Lifecycle Professional
Earning the globally recognized CSSLP secure software development certification is a proven way to build your career and better incorporate security practices into each phase of the software development lifecycle (SDLC).
CSSLP certification recognizes leading application security skills. It shows employers and peers you have the advanced technical skills and knowledge necessary for authentication, authorization and auditing throughout the SDLC using best practices, policies and procedures established by the cybersecurity experts at ISC2.
Prove your skills, advance your career, and gain support from a community of cybersecurity leaders here to help you throughout your professional journey.
Beside doing the practice test, I would suggest you to do as much simulation test / question as you could to get your self well prepared for the exam. More practice test will be released soon. Stay tuned and Good Luck.
CSSLP Examination Information
Length of exam | 3 hours
Number of items | 125
Item format | Multiple choice
Passing grade | 700 out of 1000 points
Exam availability | English
Testing center | Pearson VUE Testing Center
Something about the new syllabus
Q: When will these changes go into effect?
The changes will begin on September 15, 2023.
Q: In what language will the refreshed CSSLP exam be available?
The refreshed CSSLP exam will be available in English only.
Are you Ready to get CSSLP ?
One more thing, Walter's career tips:
If you are pursuing your career paths in External / Internal Auditor, Tech. Risk, Cybersecurity, you should consider taking following Certifications to equip yourself and demonstrate your competency to your employers.
ISACA | ISC2 | CSA | IAPP | IIA | ACAMS |
CISA | CISSP | CCSK | CIPT | CIA | CAMS |
CISM | CCSP | | CIPP |
CRISC | SSCP | | CIPM |
CGEIT | CGRC | | CDPO |
CDPSE | CSSLP |
CCAK | CISSP-ISSAP |
COBIT | CISSP-ISSMP |
| CISSP-ISSEP |
Unlock Your Success with AI-102 Designing and Implementing a Microsoft Azure AI Solution Practice Exams (211 questions)
Prepare with Confidence: Gain an edge with not one, not two, but three meticulously crafted, high-quality practice exams. Our AI-102 Designing and Implementing a Microsoft Azure AI Solution practice exams are expertly designed to closely match the official certification test, ensuring you're fully prepared for the real deal.
Affordable Excellence: We understand the financial strain of exam preparation. That's why we're committed to providing top-tier AI-102 Designing and Implementing a Microsoft Azure AI Solution practice exams at an unbeatable, budget-friendly price. Achieve success without breaking the bank.
Comprehensive Insights: Worried about understanding answer explanations? Our AI-102 Designing and Implementing a Microsoft Azure AI Solution practice exams come with detailed explanations for every question. You'll not only know the correct answers but also grasp the underlying concepts and reasoning. Strengthen your knowledge base and conquer similar questions during the actual exam.
Realistic Format: Our practice exams mimic the multiple-choice format of the official AI-102 Designing and Implementing a Microsoft Azure AI Solution. Practice effective time management, refine your decision-making skills, and familiarize yourself with the question types you'll encounter on exam day.
Invest in Your Future Today: Join our AI-102 Designing and Implementing a Microsoft Azure AI Solution course and take the crucial first step toward earning your coveted certification. Open doors to career advancement and new opportunities. Enroll now and gear up to excel in your AI-102 Designing and Implementing a Microsoft Azure AI Solution.
-Please note: These practice exams are designed to supplement your studies, not replace them.-
Unlock Your Success with AI-102 Designing and Implementing a Microsoft Azure AI Solution Practice Exams (211 questions)
Prepare with Confidence: Gain an edge with not one, not two, but three meticulously crafted, high-quality practice exams. Our AI-102 Designing and Implementing a Microsoft Azure AI Solution practice exams are expertly designed to closely match the official certification test, ensuring you're fully prepared for the real deal.
Affordable Excellence: We understand the financial strain of exam preparation. That's why we're committed to providing top-tier AI-102 Designing and Implementing a Microsoft Azure AI Solution practice exams at an unbeatable, budget-friendly price. Achieve success without breaking the bank.
Comprehensive Insights: Worried about understanding answer explanations? Our AI-102 Designing and Implementing a Microsoft Azure AI Solution practice exams come with detailed explanations for every question. You'll not only know the correct answers but also grasp the underlying concepts and reasoning. Strengthen your knowledge base and conquer similar questions during the actual exam.
Realistic Format: Our practice exams mimic the multiple-choice format of the official AI-102 Designing and Implementing a Microsoft Azure AI Solution. Practice effective time management, refine your decision-making skills, and familiarize yourself with the question types you'll encounter on exam day.
Invest in Your Future Today: Join our AI-102 Designing and Implementing a Microsoft Azure AI Solution course and take the crucial first step toward earning your coveted certification. Open doors to career advancement and new opportunities. Enroll now and gear up to excel in your AI-102 Designing and Implementing a Microsoft Azure AI Solution.
-Please note: These practice exams are designed to supplement your studies, not replace them.-
We really hope you'll agree, this training is way more than the average course on Udemy!
Have access to the following:
Training from an instructor of over 20 years who has trained thousands of people and also a Microsoft Certified Trainer
Lecture that explains the concepts in an easy to learn method for someone that is just starting out with this material
Instructor led hands on and simulations to practice that can be followed even if you have little to no experience
TOPICS COVERED INCLUDING HANDS ON LECTURE AND PRACTICE TUTORIALS:
Introduction
Welcome to the course
IMPORTANT Using Assignments in the course
Creating a free Azure Account
Order of concepts covered in the course
Introduction to artificial intelligence terminology
Identify features of common AI workloads
Understanding features of anomaly detection workloads
Example of univariate anomaly detection
Example of multivariate anomaly detection
What is computer vision workloads?
Conceptual usage of natural language processing workloads
Visualizing knowledge mining principals
Identify guiding principles for responsible AI
Introduction to responsible AI
Fairness and Inclusiveness in an AI solution
Reliability and safety in an AI solution
Privacy and security in an AI solution
Transparency in an AI solution
Accountability in an AI solution
Identify common machine learning types
Create an Azure Machine Learning workspace for machine learning scenarios
What is regression machine learning?
Building a pipeline with regression machine learning for cleaning a dataset
Implement a regression machine learning scenario
Evaluating the results of regression machine learning scenarios
What is classification machine learning?
Implement a classification machine learning scenario in Azure
Understanding labels on a confusion matrix
Clustering machine learning example
Describe core machine learning concepts
Understanding features and labels in a dataset for machine learning
How training and validation datasets are used in machine learning
Describe capabilities of visual tools in Azure Machine Learning Studio
Using Automated machine learning
Understanding Azure Machine Learning Designer
Cleaning up our existing Azure resources
Identify common types of computer vision solutions
What are the Azure computer vision solutions?
Creating an Azure computer vision resource
Image classification and object detection solutions in vision studio
Optical character recognition solutions in vision studio
Facial detection and facial analysis solutions in vision studio
Spatial analysis solutions in vision studio
Identify Azure tools and services for computer vision tasks
Using the POSTMAN tool for interacting with Azure AI Services
Implementing the capabilities of the Computer Vision service
Implementing the capabilities of the Custom Vision service
Implementing the capabilities of the Face service
Implementing the capabilities of the Form Recognizer service
Identify features of common NLP Workload Scenarios
What are the Azure AI Language features?
Creating a language service resource in Azure
Trying out key phrase extraction
Trying out key entity recognition
Trying out key sentiment analysis
Trying out key language modeling
Trying out key speech recognition and synthesis
Trying out key translation
Identify Azure tools and services for NLP workloads
Exploring the capabilities of the Language service
Exploring the capabilities of the Speech service
Exploring the capabilities of the Translator service
Configuring Azure AI language to support questions and answers support
Identify considerations for conversational AI solutions on Azure
Understanding the features and uses for bots
Capabilities of Power Virtual Agents and the Azure Bot service
Remove existing resource
Identify features and capabilities of generative AI & the Azure Open AI Service
Features of generative Open AI models
Common scenarios for generative Open AI
Responsible Open AI considerations for generative AI
We really hope you'll agree, this training is way more than the average course on Udemy!
Have access to the following:
Training from an instructor of over 20 years who has trained thousands of people and also a Microsoft Certified Trainer
Lecture that explains the concepts in an easy to learn method for someone that is just starting out with this material
Instructor led hands on and simulations to practice that can be followed even if you have little to no experience
TOPICS COVERED INCLUDING HANDS ON LECTURE AND PRACTICE TUTORIALS:
Introduction
Welcome to the course
IMPORTANT Using Assignments in the course
Creating a free Azure Account
Order of concepts covered in the course
Introduction to artificial intelligence terminology
Identify features of common AI workloads
Understanding features of anomaly detection workloads
Example of univariate anomaly detection
Example of multivariate anomaly detection
What is computer vision workloads?
Conceptual usage of natural language processing workloads
Visualizing knowledge mining principals
Identify guiding principles for responsible AI
Introduction to responsible AI
Fairness and Inclusiveness in an AI solution
Reliability and safety in an AI solution
Privacy and security in an AI solution
Transparency in an AI solution
Accountability in an AI solution
Identify common machine learning types
Create an Azure Machine Learning workspace for machine learning scenarios
What is regression machine learning?
Building a pipeline with regression machine learning for cleaning a dataset
Implement a regression machine learning scenario
Evaluating the results of regression machine learning scenarios
What is classification machine learning?
Implement a classification machine learning scenario in Azure
Understanding labels on a confusion matrix
Clustering machine learning example
Describe core machine learning concepts
Understanding features and labels in a dataset for machine learning
How training and validation datasets are used in machine learning
Describe capabilities of visual tools in Azure Machine Learning Studio
Using Automated machine learning
Understanding Azure Machine Learning Designer
Cleaning up our existing Azure resources
Identify common types of computer vision solutions
What are the Azure computer vision solutions?
Creating an Azure computer vision resource
Image classification and object detection solutions in vision studio
Optical character recognition solutions in vision studio
Facial detection and facial analysis solutions in vision studio
Spatial analysis solutions in vision studio
Identify Azure tools and services for computer vision tasks
Using the POSTMAN tool for interacting with Azure AI Services
Implementing the capabilities of the Computer Vision service
Implementing the capabilities of the Custom Vision service
Implementing the capabilities of the Face service
Implementing the capabilities of the Form Recognizer service
Identify features of common NLP Workload Scenarios
What are the Azure AI Language features?
Creating a language service resource in Azure
Trying out key phrase extraction
Trying out key entity recognition
Trying out key sentiment analysis
Trying out key language modeling
Trying out key speech recognition and synthesis
Trying out key translation
Identify Azure tools and services for NLP workloads
Exploring the capabilities of the Language service
Exploring the capabilities of the Speech service
Exploring the capabilities of the Translator service
Configuring Azure AI language to support questions and answers support
Identify considerations for conversational AI solutions on Azure
Understanding the features and uses for bots
Capabilities of Power Virtual Agents and the Azure Bot service
Remove existing resource
Identify features and capabilities of generative AI & the Azure Open AI Service
Features of generative Open AI models
Common scenarios for generative Open AI
Responsible Open AI considerations for generative AI
This course is for anyone who is new to Microsoft Azure AI 900 and is willing to take examination.
I assure you that you will find this course very useful.
About AI 900
The AI-900 course is designed to provide a foundational understanding of AI concepts and their application in Azure. It covers the fundamental principles of AI, common AI workloads, and the services available in Azure for building AI solutions.
Target Audience: The course is suitable for individuals who are new to AI and want to gain a basic understanding of AI concepts and how they can be implemented using Azure services. It is also beneficial for business stakeholders, such as project managers or sales representatives, who need to understand AI capabilities to make informed decisions.
Course Content: The AI 900 course covers practice test for the following key topics:
Introduction to AI: Understanding the basic concepts, principles, and types of AI.
Machine Learning: Exploring machine learning concepts, including supervised, unsupervised, and reinforcement learning.
Computer Vision: Understanding computer vision and its applications, such as image recognition and object detection.
Natural Language Processing (NLP): Exploring NLP concepts, including text analysis, sentiment analysis, and language translation.
Conversational AI: Learning about conversational AI technologies, such as chatbots and virtual agents.
Responsible AI: Understanding the ethical and responsible use of AI, including fairness, transparency, and privacy considerations.
Azure AI Services: Exploring the AI services available in Azure, such as Azure Cognitive Services and Azure Machine Learning.
This course is for anyone who is new to Microsoft Azure AI 900 and is willing to take examination.
I assure you that you will find this course very useful.
About AI 900
The AI-900 course is designed to provide a foundational understanding of AI concepts and their application in Azure. It covers the fundamental principles of AI, common AI workloads, and the services available in Azure for building AI solutions.
Target Audience: The course is suitable for individuals who are new to AI and want to gain a basic understanding of AI concepts and how they can be implemented using Azure services. It is also beneficial for business stakeholders, such as project managers or sales representatives, who need to understand AI capabilities to make informed decisions.
Course Content: The AI 900 course covers practice test for the following key topics:
Introduction to AI: Understanding the basic concepts, principles, and types of AI.
Machine Learning: Exploring machine learning concepts, including supervised, unsupervised, and reinforcement learning.
Computer Vision: Understanding computer vision and its applications, such as image recognition and object detection.
Natural Language Processing (NLP): Exploring NLP concepts, including text analysis, sentiment analysis, and language translation.
Conversational AI: Learning about conversational AI technologies, such as chatbots and virtual agents.
Responsible AI: Understanding the ethical and responsible use of AI, including fairness, transparency, and privacy considerations.
Azure AI Services: Exploring the AI services available in Azure, such as Azure Cognitive Services and Azure Machine Learning.
480 Questions designed by a Salesforce Expert with 14 Certificates.
Unlock your path to Salesforce success with our comprehensive Salesforce AI Associate Practice Exams course. Designed to propel you towards achieving your Salesforce Certified Associate AI certification, this test exam offers an in-depth exploration of the key concepts and skills required for the exam.
Welcome to the Salesforce Associate AI Certification practice exam. Please note that these questions are for practical purposes only and should not be considered as the exact questions that will appear on the Salesforce Certified Associate AI exam. This practice exam assesses your knowledge in key areas outlined in the Salesforce Certified AI Associate Exam Guide.
Key areas to be evaluated in this certification include, but are not limited to:
AI Basics: Understanding fundamental concepts of artificial intelligence.
Salesforce Einstein: Knowledge of Salesforce's AI platform and its capabilities.
AI Implementation: Ability to implement AI solutions within the Salesforce ecosystem.
Data Analysis: Proficiency in analyzing and utilizing data for AI-driven insights.
Predictive Modeling: Skills in building predictive models using AI tools.
Be sure to study Salesforce's official materials and exam guides from the provided link for comprehensive preparation in these areas. Your success in the actual certification exam will depend on a thorough understanding of these topics. Best of luck!
480 Questions designed by a Salesforce Expert with 14 Certificates.
Unlock your path to Salesforce success with our comprehensive Salesforce AI Associate Practice Exams course. Designed to propel you towards achieving your Salesforce Certified Associate AI certification, this test exam offers an in-depth exploration of the key concepts and skills required for the exam.
Welcome to the Salesforce Associate AI Certification practice exam. Please note that these questions are for practical purposes only and should not be considered as the exact questions that will appear on the Salesforce Certified Associate AI exam. This practice exam assesses your knowledge in key areas outlined in the Salesforce Certified AI Associate Exam Guide.
Key areas to be evaluated in this certification include, but are not limited to:
AI Basics: Understanding fundamental concepts of artificial intelligence.
Salesforce Einstein: Knowledge of Salesforce's AI platform and its capabilities.
AI Implementation: Ability to implement AI solutions within the Salesforce ecosystem.
Data Analysis: Proficiency in analyzing and utilizing data for AI-driven insights.
Predictive Modeling: Skills in building predictive models using AI tools.
Be sure to study Salesforce's official materials and exam guides from the provided link for comprehensive preparation in these areas. Your success in the actual certification exam will depend on a thorough understanding of these topics. Best of luck!