PrepIQ DevOps and Big Data Certifications Ultimate Exam, Exams of Technology

This practice exam is designed to prepare candidates for industry-recognized DevOps and Big Data certifications by testing their understanding of continuous integration, continuous delivery, containerization, orchestration, and infrastructure as code. It also evaluates knowledge of data engineering, distributed computing frameworks such as Hadoop and Spark, data pipelines, ETL models, and real-time data processing. Learners experience scenario-based questions that mimic real enterprise environments, validating their ability to automate workflows, deploy applications at scale, manage cluster-based big data ecosystems, and secure data infrastructures across hybrid cloud architectures.

Typology: Exams

2025/2026

Available from 05/12/2026

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PrepIQ DevOps and Big Data
Certifications Ultimate Exam
Question 1. What is the primary goal of the First Way in DevOps, also known as
Flow?
A) To establish rapid feedback loops
B) To enable continuous learning and experimentation
C) To optimize the flow of work from development to operations
D) To implement security best practices
Answer: C
Explanation: The First Way emphasizes the importance of optimizing the entire
software delivery pipeline to ensure smooth and efficient flow of work from
development to deployment, reducing delays and bottlenecks.
---
Question 2. Which principle is most associated with the CAMS framework in
DevOps?
A) Culture, Automation, Metrics, Security
B) Culture, Automation, Lean, Measurement, Sharing
C) Collaboration, Automation, Microservices, Security
D) Configuration, Automation, Monitoring, Scaling
Answer: B
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Certifications Ultimate Exam

Question 1. What is the primary goal of the First Way in DevOps, also known as Flow? A) To establish rapid feedback loops B) To enable continuous learning and experimentation C) To optimize the flow of work from development to operations D) To implement security best practices Answer: C Explanation: The First Way emphasizes the importance of optimizing the entire software delivery pipeline to ensure smooth and efficient flow of work from development to deployment, reducing delays and bottlenecks.

Question 2. Which principle is most associated with the CAMS framework in DevOps? A) Culture, Automation, Metrics, Security B) Culture, Automation, Lean, Measurement, Sharing C) Collaboration, Automation, Microservices, Security D) Configuration, Automation, Monitoring, Scaling Answer: B

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Explanation: CAMS stands for Culture, Automation, Lean, Measurement, Sharing, and it guides organizations in adopting DevOps practices by focusing on these core principles.

Question 3. How does DevOps differ from traditional Agile development? A) DevOps emphasizes continuous deployment and operations integration, whereas Agile primarily focuses on development cycles. B) Agile involves only development teams, while DevOps excludes security considerations. C) DevOps is only applicable to small teams, whereas Agile is for large organizations. D) Agile uses waterfall methods, whereas DevOps uses Scrum. Answer: A Explanation: DevOps extends Agile by integrating development and operations teams, emphasizing automation, continuous integration/delivery, and operational feedback, whereas Agile mainly focuses on iterative development.

Question 4. What is the role of psychological safety in a DevOps environment? A) To ensure compliance with security standards B) To foster an environment where team members can openly share ideas and failures without fear

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B) To manually review code before deployment C) To replace version control systems D) To monitor server health Answer: A Explanation: Deployment pipelines automate the stages of software delivery, enabling frequent, reliable releases with minimal manual intervention.

Question 7. Which Git branching strategy involves developing features in dedicated branches and merging them into a main branch after review? A) Trunk-Based Development B) GitFlow C) Forking Workflow D) Continuous Delivery Answer: B Explanation: GitFlow is a branching model where features are developed in feature branches, then merged into develop and main branches after review.

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Question 8. What is a key characteristic of trunk-based development? A) Developers work in long-lived feature branches B) Developers commit directly to the main branch frequently C) It requires manual merging for each feature D) It discourages continuous integration Answer: B Explanation: Trunk-Based Development encourages frequent commits directly to the main branch, supporting continuous integration and reducing merge conflicts.

Question 9. Which artifact repository is commonly used for managing build artifacts in a DevOps environment? A) GitHub B) Jenkins C) Nexus D) Docker Hub Answer: C Explanation: Nexus is a popular repository manager for storing and managing build artifacts like jars, Docker images, and other dependencies.

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Answer: B Explanation: Canary deployments gradually divert traffic to a new version, allowing validation before full rollout, minimizing risk.

Question 12. What is the main advantage of blue/green deployment? A) It enables zero-downtime updates by switching between two identical environments B) It allows for simultaneous testing of multiple features C) It reduces the number of servers needed D) It simplifies rollback procedures Answer: A Explanation: Blue/Green deployment maintains two identical environments; switching between them allows updates with minimal downtime and easy rollback if needed.

Question 13. Which Infrastructure as Code tool uses declarative language to manage cloud resources on AWS? A) Ansible B) Terraform

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C) Chef D) Puppet Answer: B Explanation: Terraform uses declarative configuration files to provision and manage cloud infrastructure across multiple providers, including AWS.

Question 14. What is the primary purpose of state management in Terraform? A) To store secret keys securely B) To keep track of infrastructure resources to detect drift and manage updates C) To automate application deployment D) To monitor application performance Answer: B Explanation: Terraform's state file records current infrastructure resources, enabling detection of drifts and safe updates.

Question 15. Which configuration management tool uses playbooks written in YAML to automate server configuration? A) Ansible

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Question 17. Which Kubernetes object is used to expose an application running inside a cluster to external traffic? A) Pod B) Deployment C) Service D) ConfigMap Answer: C Explanation: A Service provides network access to Pods, enabling exposure of applications inside the cluster to external clients.

Question 18. What is the purpose of a Horizontal Pod Autoscaler (HPA) in Kubernetes? A) To automatically increase or decrease the number of Pods based on CPU utilization or other metrics B) To scale the cluster nodes vertically C) To manage persistent storage volumes D) To distribute traffic among multiple clusters Answer: A

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Explanation: HPA automatically adjusts the number of Pods in response to observed resource metrics, ensuring application scalability.

Question 19. Which component of Spark provides a unified interface for SQL, streaming, and machine learning workloads? A) Spark Core B) Spark SQL C) Spark Streaming D) Spark MLlib Answer: B Explanation: Spark SQL provides a unified API for working with structured data, supporting SQL queries, DataFrames, and Datasets.

Question 20. In Spark, what is an RDD? A) Resilient Distributed Dataset, the fundamental data structure for fault-tolerant distributed processing B) A SQL table stored in memory C) A data stream from Kafka D) A machine learning model

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C) To manage Kafka broker configurations D) To monitor Kafka cluster health Answer: A Explanation: Kafka Connect simplifies the integration of Kafka with external systems, enabling data import/export with minimal code.

Question 23. Which of the following is a key feature of the MapReduce programming model? A) Data is processed in real-time streams B) Data processing is divided into Map and Reduce phases for parallel execution C) It uses SQL-like syntax for queries D) It requires a NoSQL database Answer: B Explanation: MapReduce splits tasks into Map (filtering, sorting) and Reduce (aggregation) phases, allowing distributed parallel processing.

Question 24. Which component of Hadoop is responsible for job scheduling and resource management? A) NameNode

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B) DataNode C) ResourceManager (YARN) D) JobTracker Answer: C Explanation: In YARN, the ResourceManager manages cluster resources and schedules jobs across nodes.

Question 25. What is the main purpose of Hive in the Hadoop ecosystem? A) To process real-time streams B) To provide a SQL-like interface for querying data stored in Hadoop C) To manage NoSQL databases D) To handle data ingestion from external sources Answer: B Explanation: Hive allows users to query and analyze large datasets using familiar SQL syntax over data stored in Hadoop.

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Question 28. Which cloud service is primarily used for managed Spark and Hadoop clusters? A) AWS EC B) AWS EMR C) Google App Engine D) Azure Functions Answer: B Explanation: Amazon EMR (Elastic MapReduce) provides managed Hadoop, Spark, and other big data frameworks on AWS.

Question 29. What is a key benefit of using cloud-native data warehouses like Snowflake? A) Manual scaling of compute resources B) Separation of storage and compute for flexible scaling C) Limited support for semi-structured data D) Proprietary hardware requirements

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Answer: B Explanation: Snowflake separates storage and compute, enabling independent scaling, cost efficiency, and flexible workloads.

Question 30. Which security feature ensures that only authorized users can access data at rest and in transit? A) Data encryption B) Data compression C) Data replication D) Data archiving Answer: A Explanation: Encryption protects data from unauthorized access both when stored (at rest) and during transmission (in transit).

Question 31. What is the purpose of data lineage in big data governance? A) To track data movement and transformations throughout its lifecycle B) To improve query performance C) To compress large datasets

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B) Velocity C) Variety D) Veracity Answer: B Explanation: Velocity refers to the speed at which data is generated, collected, and processed.

Question 34. Which type of NoSQL database is best suited for highly interconnected data? A) Key-Value store B) Document store C) Column-family store D) Graph database Answer: D Explanation: Graph databases are optimized for modeling and querying highly interconnected data, such as social networks.

Question 35. When importing data from a relational database into Hadoop, which tool is typically used?

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A) Sqoop B) Flume C) Kafka D) Hive Answer: A Explanation: Sqoop facilitates efficient bulk transfer of data between relational databases and Hadoop.

Question 36. What does the term "data lake" refer to in big data architecture? A) A centralized repository that stores raw data in various formats B) A structured data warehouse optimized for analytics C) A collection of small, isolated databases D) An in-memory data grid Answer: A Explanation: Data lakes store vast amounts of raw, unprocessed data in its native format, enabling flexible processing and analysis.