phData Solution Architect Interview Questions and Answers

Q1. Handling unstructured data in Snowflake
Ans. 
Snowflake can handle unstructured data through its semi-structured data types like VARIANT and OBJECT.
• Snowflake supports semi-structured data types like VARIANT and OBJECT for handling unstructured data.

• Use VARIANT data type to store JSON, XML, or other semi-structured data.

• Use OBJECT data type to store key-value pairs or nested data structures.

• Snowflake's automatic schema-on-read feature allows querying unstructured d
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Q2. Different performance optimization techniques
Ans. 
Performance optimization techniques include caching, code optimization, load balancing, and database indexing.
• Caching: Store frequently accessed data in memory to reduce load times.

• Code optimization: Improve code efficiency by reducing redundant operations and improving algorithms.

• Load balancing: Distribute incoming network traffic across multiple servers to prevent overload.

• Database indexing: Organize database tables
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Legacy to Snowflake migration scenario

Q1. Technical questions and scenario based questions
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Q1. About company and practice explanation
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Q1. Salary discussion
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Hadoop administration

Q1. What is the expected salary
Ans. 
The expected salary for a Solution Architect depends on factors such as experience, location, and company size.
• The expected salary for a Solution Architect can range from $80,000 to $150,000 per year.

• Factors that can influence the salary include the candidate's level of experience, the location of the job, and the size of the company.

• Solution Architects with more years of experience and those working in high-demand loc...read more
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Q2. Why are you joining us
Ans. 
I am joining because I am impressed by the company's innovative solutions and collaborative work environment.
• Impressed by innovative solutions

• Collaborative work environment

• Opportunity for professional growth
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