This intermediate-level 30 Minutes 300-180 Practice Exam is specifically designed for System & Field Engineers, Data Center Managers, and Technical Solution Architects.
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This intermediate-level 30 Minutes 300-180 Practice Exam is specifically designed for System & Field Engineers, Data Center Managers, and Technical Solution Architects.
This intermediate-level 30 Minutes 300-180 Practice Exam is specifically designed for System & Field Engineers, Data Center Managers, and Technical Solution Architects. This practice exam accredits the skills and knowledge of a Data Center Professional in the Field Intersection with Cloud, Automation, Virtualization, and Software-Defined Technologies.
The 300-180 is a pivotal examination for professionals striving the CCNP Data Center Certification and is the last of the four essential CCNP Data Center Certification Exam. The other three exams include 300-165, 300-170, and 300-175. This certification also validates the knowledge of professionals relating to Cisco Application Centric Infrastructure (ACI), Compute Platform, Storage, Operations, and Management
The CCNP Data Center Certification is ideal for professionals who want to succeed in their professional careers and successfully land a reputable job in a high-profile Information Technology Firm or Organization.
The core objective of this course is to help professionals train and prepare for the 300-180 Certification Exam. The 300-180 is the final of the four essential exams for professionals striving to attain the CCNP Data Center Certification.
This course is specifically tailored for the following group of professionals and interested candidates:
Professionals planning to enroll in the Practice Exam – 300-180: Troubleshooting Cisco Data Center Infrastructure (DCIT) must comply with the following prerequisites:
Know-how of Routing & Switching and other Networking Fundamentals
| Brand | Cisco |
|---|---|
| Lab Access | No |
| Technology | Cisco |
| Learning Style | Self-Paced Learning |
| Learning Type | Practice Exam |
| Difficulty | Intermediate |
| Course Duration | 30 Min |
| Language | English |
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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