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This exam is intended for database professionals who design and build database solutions in the organization. They are responsible for the creation of plans and designs for database structure, storage, objects, and servers. They create the plan for the environment in which the database solution runs.
Crafting and executing high availability solutions.
Designing and executing database infrastructure
Designing and managing the execution of disaster recovery solutions.
Designing and carrying out consolidation strategies.
2 years’ or more work experience with relational databases, including:
Managing databases
Designing, developing and executing databases
Understanding of high availability and disaster recovery
Querying with Transact-SQL
This exam qualifies as the 1 required exam to earn MCSE: Data Management and Analytics certification.
| Brand | Microsoft |
|---|---|
| Lab Access | No |
| Technology | Microsoft |
| Learning Style | Self-Paced Learning |
| Learning Type | Practice Exam |
| Difficulty | Intermediate |
| Course Duration | 30 Min |
| Language | English |
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Tom is an innovator first, and then a Data Scientist & Software Architect. He has integrated expertise in business, product, technology and management. Tom has been involved in creating category defining new products in AI and big data for different industries, which generated more than hundred million revenue cumulatively, and served more than 10 million users.
As a Data Scientist and Software Architect Tom has extensive experience in data science, engineering, architecture and software development. To date Tom has accumulated over a decade of experience in R, Python & Linux Shell programming.
Tom has expertise on Python, SQL, and Spark. He has worked on several libraries including but not limited to Scikit-learn, Pandas, NumPy, Matplotlib, Seaborn, SciPy, NLTK, Keras, and Tensorflow.
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