London Stock Exchange Group Interview Questions, Process, and Tips

Q1. Financial reporting, inflation rate, Accounting technical issue, methods of financial models,
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Q2. Personal interview questions
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Q3. Financial marketing techniques
Ans. 
Financial marketing techniques involve strategies and tactics used to promote financial products and services.
• Targeted advertising to reach specific demographics

• Content marketing through blogs, articles, and social media

• Email marketing campaigns to engage and inform customers

• Search engine optimization (SEO) to improve online visibility

• Influencer marketing to leverage the influence of industry experts

• Direct mail campaig...read more
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Q4. IFRA Integrated Financial and Risk Architecture
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Q1. Stress, strength, weakness, how will you overcome the difficulty and challenges faced
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30 minutes 30 question

3 easy and medium level

It went for like 45mins

Q1. How do you load data from JSON?
Ans. 
Data can be loaded from JSON using Snowflake's COPY INTO command.
• Use the COPY INTO command in Snowflake to load data from JSON files.

• Specify the file format as JSON in the COPY INTO command.

• Map the JSON attributes to the columns in the target table.

• Example: COPY INTO target_table FROM 's3://bucket_name/file.json' FILE_FORMAT = (TYPE = 'JSON');
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Q2. What are the performance tuning options in snowflake?
Ans. 
Performance tuning options in Snowflake include clustering, materialized views, query profiling, and resource monitoring.
• Use clustering keys to organize data for faster query performance

• Create materialized views to pre-aggregate data and improve query speed

• Utilize query profiling to identify and optimize slow queries

• Monitor resource usage to ensure efficient query execution
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Q3. How do you configure snowpipe?
Ans. 
Snowpipe is configured using a Snowflake account, specifying the source data location and the target table.
• Configure a stage in Snowflake to specify the source data location.

• Create a pipe in Snowflake to define the target table and the stage.

• Set up notifications for the pipe to trigger loading data automatically.

• Monitor the pipe for any errors or issues in data loading.

• Example: CREATE STAGE my_stage URL = 's3://my_buck...read more
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Q4. Data modelling techniques used
Ans. 
Various data modelling techniques like dimensional modelling, ER modelling, and data vault are used.
• Dimensional modelling is used for data warehousing and involves organizing data into facts and dimensions.

• ER modelling is used to visualize the data relationships in an entity-relationship diagram.

• Data vault modelling is used for agile data warehousing and involves creating a flexible and scalable data model.
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Q5. Streans in snowflake
Ans. 
Streams in Snowflake are used to continuously replicate data from a table to another destination in real-time.
• Streams capture changes made to a table, such as inserts, updates, and deletes.

• They can be used to track changes and replicate data to other tables or external systems.

• Streams are created on a specific table and can be monitored for changes using SQL commands.
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Q1. Snowflake ETL Pipelines
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Q2. Streams in snowflake
Ans. 
Streams in Snowflake are continuous flows of data that can be consumed in real-time for processing and analysis.
• Streams capture changes made to a table and make them available for processing in real-time.

• They can be used to implement CDC (Change Data Capture) solutions.

• Streams can be created using the CREATE STREAM statement.

• Example: CREATE STREAM my_stream ON TABLE my_table;
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Q3. Data migration from on prem to cloud data warehouse.
Ans. 
Data migration from on-premises to cloud data warehouse involves transferring data from local servers to a cloud-based storage solution.
• Assess current data sources and structures on-premises

• Select appropriate cloud data warehouse solution (e.g. Snowflake)

• Plan data migration strategy including data extraction, transformation, and loading (ETL)

• Test data migration process thoroughly before full implementation

• Monitor and o
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Q4. Loading JSON file
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Q5. Stages n snowflake
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Q6. Clustering Keys in snowflake
Ans. 
Clustering keys in Snowflake help improve query performance by organizing data in a specific order.
• Clustering keys determine the physical order of data in Snowflake tables.

• They are defined at the table level and can be set during table creation or altered later.

• Clustering keys can be single or composite, and should be chosen based on the most commonly used columns in queries.

• They help reduce the amount of data scanned ...read more
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The aptitude test was of 30 minutes with 30 questions. There were questions from all domains, like Java programming, C programming, verbal, aptitude, core computer science concepts, and so on.

The coding test had 3 questions to be solved in 60 mins. The questions were easy-medium level, but the implementations were lengthy. So one needed to have a fast typing skills to complete the implementation.

The group discussion went around for 35 mins, which was supposed to be 30 mins. There were 7 people on our team and we were provided a couple of sheets of paper where there were instructions written on what to do and how to do it. In the end, we had a presentation session of 5 mins which was prolonged till 10 mins. The topic was, "The company wants to introduce crypto-currency in their trading system. What should be the business and technical planning strategies for the implementation."

Q1. What are your best interests?
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Q2. If you are hired in our company, which field you would prefer to get into?
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Q3. Explain to me a program written in Java that has a UI to take inputs of two integers and send them to a server to add them up. What are the tech stacks that you would preferably use?
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Q4. Which language would you use to do the arithmetic of two numbers? (Options: Java, Python, C++) And Why?
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Q5. Basic questions on Machine Learning concepts.
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Q6. Questions on Cloud Computing.
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