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Cognizant Gcp Data Engineer Interview Questions, Process, and Tips
Top Cognizant Gcp Data Engineer Interview Questions and Answers
- Q1. GCP Services, What is use of Bigquery? What is Pubsub,Dataflow,cloud storage. Question related previous roles and responsibility.
- Q2. What is GCP Bigquery, Architecture of BQ, Cloud composer, What Is DAG . Visualization studio like Looker, data studio.
- Q3. What are the GCP services used in your project
Cognizant Gcp Data Engineer Interview Experiences
3 interviews found
Anonymous
Selected
I applied via Naukri.com and was interviewed in Nov 2023. There was 1 interview round.
(1 Question)
- Q1. What is GCP Bigquery, Architecture of BQ, Cloud composer, What Is DAG . Visualization studio like Looker, data studio.
- Ans.
GCP BigQuery is a serverless, highly scalable, and cost-effective data warehouse for analyzing big data sets.
BigQuery is a fully managed, petabyte-scale data warehouse that enables super-fast SQL queries using the processing power of Google's infrastructure.
BigQuery's architecture includes storage, Dremel execution engine, and SQL layer.
Cloud Composer is a managed workflow orchestration service that helps you create, s...
Interview Preparation Tips
Having good knowledge of GCP Bigquery and Data transfer service for streaming and batch data.
Skills evaluated in this interview
suresh p
(6 Questions)
- Q1. What are the GCP services used in your project
- Ans.
The GCP services used in our project include BigQuery, Dataflow, Pub/Sub, and Cloud Storage.
BigQuery for data warehousing and analytics
Dataflow for real-time data processing
Pub/Sub for messaging and event ingestion
Cloud Storage for storing data and files
- Q2. What is cloud function
- Ans.
Cloud Functions are event-driven functions that run in response to cloud events.
Serverless functions that automatically scale based on demand
Can be triggered by events from various cloud services
Supports multiple programming languages like Node.js, Python, etc.
- Q3. How to shedule job to trigger every hr in Airflow
- Ans.
To schedule a job to trigger every hour in Airflow, you can use the Cron schedule interval
Define a DAG (Directed Acyclic Graph) in Airflow
Set the schedule_interval parameter to '0 * * * *' to trigger the job every hour
Example: schedule_interval='0 * * * *'
- Q4. Bigquey architecture
- Q5. How display string in reverse using python
- Ans.
Use Python's slicing feature to display a string in reverse order.
Use string slicing with a step of -1 to reverse the string.
Example: 'hello'[::-1] will output 'olleh'.
- Q6. What is pub sub and where are you getting used in your project.
- Ans.
Pub/Sub is a messaging service that allows communication between independent applications.
Pub/Sub is used for real-time messaging and event-driven systems.
It is commonly used for data ingestion, streaming analytics, and event-driven architectures.
Examples of Pub/Sub services include Google Cloud Pub/Sub, Apache Kafka, and Amazon SNS/SQS.
I applied via Naukri.com and was interviewed in Apr 2022. There were 3 interview rounds.
(1 Question)
- Q1. GCP Services, What is use of Bigquery? What is Pubsub,Dataflow,cloud storage. Question related previous roles and responsibility.
- Ans.
Bigquery is a cloud-based data warehousing tool used for analyzing large datasets quickly. Pubsub is a messaging service, Dataflow is a data processing tool, and Cloud Storage is a scalable object storage service.
Bigquery is used for analyzing large datasets quickly
Pubsub is a messaging service used for asynchronous communication between applications
Dataflow is a data processing tool used for batch and stream processin...
(1 Question)
- Q1. What is your Salary expectations?
Interview Preparation Tips
Skills evaluated in this interview
What people are saying about Cognizant
Gcp Data Engineer Jobs at Cognizant
Interview questions from similar companies
I applied via Naukri.com and was interviewed in Nov 2024. There were 2 interview rounds.
(7 Questions)
- Q1. Explain your project
- Ans.
Developed a data pipeline to ingest, process, and analyze customer feedback data for a retail company.
Used Google Cloud Platform services like BigQuery, Dataflow, and Pub/Sub for data processing.
Implemented data cleansing and transformation techniques to ensure data quality.
Created visualizations and dashboards using tools like Data Studio for stakeholders to easily interpret the data.
- Q2. GCP bigquery architecture
- Q3. Gcp object versioning
- Q4. Gcp storage class types
- Ans.
GCP offers different storage classes for varying performance and cost requirements.
Standard Storage: for frequently accessed data
Nearline Storage: for data accessed less frequently
Coldline Storage: for data accessed very infrequently
Archive Storage: for data stored for long-term retention
- Q5. Sql optimisation techniques
- Ans.
SQL optimization techniques focus on improving query performance by reducing execution time and resource usage.
Use indexes to speed up data retrieval
Avoid using SELECT * and instead specify only the columns needed
Optimize joins by using appropriate join types and conditions
Limit the use of subqueries and instead use JOINs where possible
Use EXPLAIN to analyze query execution plans and identify bottlenecks
- Q6. Sql coding date format and joins related questions
- Q7. Partitioning and cluster by
(2 Questions)
- Q1. Advanced sql recursive cte and python code using lambda function to explode the list
- Q2. Project explanation and daily activity and challenge faced in project
Interview Preparation Tips
- SQL
- PYSPARK
- GCP
- PYTHON
I applied via LinkedIn and was interviewed in Oct 2024. There were 2 interview rounds.
(2 Questions)
- Q1. Questions on SQL Joins and Window Functions
- Q2. GCP Big query and Cloud Storage qs
(2 Questions)
- Q1. About overall IT experience
- Q2. Project experience and services used
- Ans.
I have experience working on projects involving data processing, transformation, and analysis using GCP services like BigQuery, Dataflow, and Dataproc.
Utilized BigQuery for storing and querying large datasets
Implemented data pipelines using Dataflow for real-time data processing
Utilized Dataproc for running Apache Spark and Hadoop clusters for data processing
Worked on data ingestion and transformation using Cloud Stora
I applied via Naukri.com and was interviewed in Oct 2024. There was 1 interview round.
(1 Question)
- Q1. What is Iam what is sa what is bigquery various optimisations joins sql complex query what is qliksense GIThub schema routines schedules delete drop truncate GUI and terraform related spark basics file fo...
- Ans.
IAM is Identity and Access Management, SA is Service Account, BigQuery is a data warehouse, QlikSense is a data visualization tool, GitHub is a version control system, Spark is a distributed computing framework, Airflow is a workflow automation tool, Bigtable is a NoSQL database, Cloud Composer is a managed workflow orchestration service, Pub/Sub is a messaging service.
IAM is used to manage access to resources in Googl...
Interview Preparation Tips
- SQL
- Python
- pyspark
Skills evaluated in this interview
Selected
I applied via Naukri.com and was interviewed in Jun 2024. There was 1 interview round.
(3 Questions)
- Q1. String is palindrome or not
- Ans.
Check if a string is a palindrome or not
Compare the string with its reverse to check for palindrome
Ignore spaces and punctuation marks when comparing
Examples: 'racecar' is a palindrome, 'hello' is not
- Q2. Create gcs bucket using python
- Ans.
Use Python to create a GCS bucket
Import the necessary libraries like google.cloud.storage
Authenticate using service account credentials
Use the library functions to create a new bucket
- Q3. Write a python code to trigger a dataflow job in cloud function
- Ans.
Python code to trigger a dataflow job in cloud function
Use the googleapiclient library to interact with the Dataflow API
Authenticate using service account credentials
Submit a job to Dataflow using the projects.locations.templates.launch endpoint
Skills evaluated in this interview
Selected
I applied via Company Website and was interviewed in Sep 2023. There were 3 interview rounds.
(1 Question)
- Q1. Bigquery architecture, Advanced SQL question scenario based, cloud storage questions,pubsub,dataflow
(1 Question)
- Q1. Used cases on bigquery and sql
- Ans.
BigQuery is used for analyzing large datasets and running complex queries, while SQL is used for querying databases.
BigQuery is used for analyzing large datasets quickly and efficiently
SQL is used for querying databases to retrieve specific data
BigQuery can handle petabytes of data, making it ideal for big data analysis
SQL can be used to perform operations like filtering, sorting, and aggregating data
(1 Question)
- Q1. Salary discussion and location discussion
Skills evaluated in this interview
I applied via Company Website and was interviewed before Mar 2023. There were 2 interview rounds.
(2 Questions)
- Q1. What are sql joins explain About bigquery related
- Ans.
SQL joins are used to combine rows from two or more tables based on a related column between them.
SQL joins are used to retrieve data from multiple tables based on a related column between them
Types of SQL joins include INNER JOIN, LEFT JOIN, RIGHT JOIN, and FULL JOIN
In BigQuery, joins can be performed using standard SQL syntax
Example: SELECT * FROM table1 INNER JOIN table2 ON table1.column = table2.column
- Q2. Bigquery, GCS related
(1 Question)
- Q1. About project related questions
Skills evaluated in this interview
I applied via LinkedIn and was interviewed before Nov 2021. There were 3 interview rounds.
(1 Question)
- Q1. Ask about the GCP Projects we did before
(1 Question)
- Q1. Managerial questions with salary discussion
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