MICROSOFT PYTHON CERTIFICATION : TOPIC VISE + GRAND TEST
Microsoft 98-381Online Training Institute
Both Classroom and Online Classes
Week Days and Week Ends
•How to work with Microsoft 98-381 Tool.
•How to apply Microsoft 98-381 in multiple Projects.
•Learn how to develop, build and deploy Microsoft 98-381
•Cover all basic Concepts with in-depth description of Microsoft 98-381 .
•Learn from scratch how to execute code with Microsoft 98-381
•Learn Microsoft 98-381 at your own pace with quality learning videos.
•Beginner to Advance Level: Learn to Plan, Design and Implement Microsoft 98-381 How to handle different types of data inside a workflow using Microsoft 98-381 .
•This course is designed for any graduates as well as Software Professionals who are willing to learn Microsoft 98-381 .
•Real-world skills + project portfolio
•25+ projects for good Learning experience
•Highly competent and skilled IT instructors
•Personal attention and guidance for every student
•Facility of Lab on cloud available (based on booking)
•Access to a huge closet containing information about Hadoop
•Training time : Week Day / Week End – Any Day Any Time – Students can come and study
•The course is all about familiarizing the trainees with simpler and smarter ways to develop the skills required for Implementation.
•C, asp.net vb.net c# c c++, Java Developer, Php Developer, dot net c# asp.net vb.net
•embedded platform software engineers, embedded multimedia developer, Middleware Developers, Android Middleware, device driver developers, c, c++, linux
•Java, Core Java, J2ee, Ui, Java Fullstack, Front End, Angularjs, Angular, React.js, Java Senior Developers, Java Developers, Java Lead, Ui Lead, Ui Developers
•SQL Developer, Oracle Developer, Tibco, Datawarehousing, Automation Testing, Websphere Admin, Weblogic Support, Python, Netezza, Actuate, Hadoop
Why Choose the Microsoft Python Certification Exam Practice Test ? Quality Python test content is extremely important to me so that you can perform extremely good in Microsoft Python Certification Exam . I ensure that all objectives of the exam are covered in depth so you’ll be ready for any question on the exam. My Python practice tests are created from original Microsoft Python Certification Exam and the official Microsoft practice test so that the level of questions and pattern can be maintained. I work hard to understand the exam objectives, taken the exam my selves before creating these practice tests. My quality content guarantees you to pass the Microsoft Certified Exam in flying colors. Q and A feature helps you to clear your doubt from me As the questions are similar to original Microsoft Python Certification exam there are 90% change of question coming similar from here only You don’t have to go and buy official Microsoft python certification practice test i have included those similar difficulty level questions here only Questions are similar to exam questions so you test your knowledge of exam objectives Detailed explanations for both correct and dis-tractor answers reinforce the material Exam Pattern: Number of Questions : 40 Duration : 45 Minutes Questions Type: Multiple Choice, Drag and Drop and Selection from drop down list Syllabus: Perform Operations using Data Types and Operators (20-25%) Evaluate an expression to identify the data type Python will assign to each variable Identify str, int, float, and bool data types Perform data and data type operations Convert from one data type to another type; construct data structures; perform indexing and slicing operations Determine the sequence of execution based on operator precedence Assignment; Comparison; Logical; Arithmetic; Identity (is); Containment (in) Select the appropriate operator to achieve the intended result Assignment; Comparison; Logical; Arithmetic; Identity (is); Containment (in) Control Flow with Decisions and Loops (25-30%) Construct and analyze code segments that use branching statements if; elif; else; nested and compound conditional expressions Construct and analyze code segments that perform iteration while; for; break; continue; pass; nested loops and loops that include compound conditional expressions Perform Input and Output Operations (20-25%) Construct and analyze code segments that perform file input and output operations Open; close; read; write; append; check existence; delete; with statement Construct and analyze code segments that perform console input and output operations Read input from console; print formatted text; use of command line arguments Document and Structure Code (15-20%) Document code segments using comments and documentation strings Use indentation, white space, comments, and documentation strings; generate documentation by using pydoc Construct and analyze code segments that include function definitions Call signatures; default values; return; def; pass Perform Troubleshooting and Error Handling (5-10%) Analyze, detect, and fix code segments that have errors Syntax errors; logic errors; runtime errors Analyze and construct code segments that handle exceptions Try; except; else; finally; raise Perform Operations Using Modules and Tools (1-5%) Perform basic operations using built-in modules Math; datetime; io; sys; os; os.path; random Solve complex computing problems by using built-in modules Math; datetime; random