Ericsson Cloud Architect Interview Questions and Answers

Q1. 1. What is the difference between classical java based web site and a web site built on node js? 2. Where does javascript run? 3. What are fundamentals of node js? 4. Docker explanation? 5. what are severa...read more
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Answers to Solution Architect interview questions
• Classical Java web sites use servlets and JSPs, while Node.js uses event-driven, non-blocking I/O model

• JavaScript runs on the client-side in web browsers and on the server-side in Node.js

• Fundamentals of Node.js include event-driven architecture, non-blocking I/O, and the use of modules

• Docker is a containerization platform that allows for easy deployment and scaling of ap...read more
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Q1. Basic Networking questions
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Q2. Mpls,Networking,Network security
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Q3. L1,L2,L3 layer questions
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Q4. Network security,Firewall related questions
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Q5. Process related questions specially presales
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Case study, Presentation round

Q1. What do you know about ML algorithm?
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ML algorithms are mathematical models used to analyze data and make predictions or decisions.
• ML algorithms can be supervised, unsupervised, or semi-supervised

• Examples of ML algorithms include linear regression, decision trees, and neural networks

• ML algorithms require training data to learn from and improve their accuracy

• The choice of algorithm depends on the problem being solved and the type of data available
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Q2. Do you have knowledge of Pandas?
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Yes, Pandas is a popular Python library used for data manipulation and analysis.
• Pandas provides data structures for efficiently storing and manipulating large datasets.

• It offers tools for data cleaning, merging, reshaping, and visualization.

• Pandas can handle various data formats such as CSV, Excel, SQL databases, and JSON.

• Example: df = pd.read_csv('data.csv') creates a Pandas DataFrame from a CSV file.

• Example: df.group...read more
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Q3. What do you know about Data Science?
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Data Science is an interdisciplinary field that involves the use of statistical and computational methods to extract insights from data.
• Data Science involves the use of various techniques such as machine learning, data mining, and predictive analytics.

• It is used to solve complex problems and make data-driven decisions.

• Data Science is used in various industries such as healthcare, finance, and e-commerce.

• Examples of Dat...read more
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Q1. Technical questions regarding domain
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Q1. More about candidate's personal ambition and reason to join the company
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Q1. About salary negotiation
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Logical reasoning and general aptitude

Q1. Mostly based on CV, and service provider LAN, and WAN technologies.
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Discussion on building business strategies with limited funding, and growing the business.

India BFSI segment like Bank, Mutual Fund, Stock Brokers etc.

Q1. 1. Give introduction about your self? 2. Design networking site which has 10 remote site and 1 Central site? Draw in paper and share.
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Q2. 1. how you will related your current experience with this job?
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