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Which Google Cloud service is commonly used for data processing and transformation tasks in a data engineering pipeline?

  • Google Cloud Pub/Sub
  • Google Data Studio
  • Google Cloud Dataprep
  • Google Cloud Dataprep
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Which Google Cloud service can be used for real-time data streaming and processing?

  • Google Cloud Dataprep
  • Google Cloud Dataflow
  • Google Cloud Dataproc
  • Google Bigtable
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In Google Cloud, what is the primary benefit of using Cloud Pub/Sub in a data pipeline?

  • Real-time stream processing
  • Data storage and archiving
  • Data transformation and cleansing
  • Data analytics and visualization
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When should you use Cloud Dataprep versus Cloud Dataflow for data transformation?

  • Use Dataprep for batch data, and Dataflow for streaming data
  • Use Dataprep for streaming data, and Dataflow for batch data
  • Use Dataprep for both batch and streaming data
  • Use Dataflow for both batch and streaming data
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Which Google Cloud service allows you to run your code without provisioning or managing servers, and it automatically scales based on the workload?

  • Google Compute Engine
  • Google Kubernetes Engine
  • Google App Engine
  • Google Cloud Functions
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In Google Cloud, which service provides a fully managed, scalable data warehousing solution?

  • Cloud Bigtable
  • BigQuery
  • Dataflow
  • Dataprep
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Which Google Cloud service is used for real-time monitoring and logging of your applications and services?

  • Google Cloud Dataprep
  • Google Cloud Dataflow
  • Google Cloud Logging
  • Google Cloud Pub/Sub
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Which Google Cloud service is designed for large-scale NoSQL data storage?

  • Google Cloud Pub/Sub
  • Google Cloud Datastore
  • Google Cloud Bigtable
  • Google Cloud Spanner
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Which service is used for storing and managing large-scale NoSQL data in Google Cloud?

  • Google Cloud Pub/Sub
  • Google Cloud Pub/Sub
  • Google Cloud Storage
  • Google Cloud Bigtable
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Which Google Cloud service is suitable for real-time data analytics and visualization?

  • Bigtable
  • Dataprep
  • Data Studio
  • Dataproc
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Which Google Cloud service can be used for preparing and cleaning datasets for analysis?

  • Google BigQuery
  • Google Cloud Dataflow
  • Google Dataprep
  • Google Cloud Dataprep
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In Google BigQuery, what is the purpose of a dataset?

  • A collection of SQL queries
  • A logical container for tables
  • A type of data schema
  • A machine learning model
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What is the main advantage of using Google Cloud Bigtable?

  • Real-time stream processing
  • High throughput, low-latency NoSQL data storage
  • Data warehousing and analytics
  • Data transformation and ETL processing
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What is the primary purpose of Google Cloud Pub/Sub in data engineering?

  • Real-time data analytics
  • Data storage and retrieval
  • Data storage and retrieval
  • Data transformation and cleaning
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What does "VPC" stand for in the context of Google Cloud?

  • Virtual Public Cloud
  • Virtual Public Cloud
  • Virtual Processing Center
  • Very Private Cluster
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What is the primary purpose of Google Cloud Storage in a data engineering context?

  • Real-time data processing
  • Data backup and archival
  • Data streaming and analytics
  • Data transformation
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What is the primary purpose of a Data Warehouse in data engineering?

  • Storing raw data without any processing
  • Processing data in real-time
  • Storing and managing structured data for reporting and analysis
  • Aggregating data for archival purposes
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What does Cloud Storage Nearline offer compared to Cloud Storage Standard?

  • Lower storage costs but slower data access
  • Faster data access but higher storage costs
  • Offline data storage
  • Advanced analytics capabilities
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Which Google Cloud service provides real-time monitoring, alerting, and incident management for your applications and services?

  • Stackdriver Monitoring
  • Cloud Logging
  • Cloud Trace
  • Cloud Debugger
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Which Google Cloud product is designed for building and managing data pipelines, and can be used for both batch and stream processing?

  • Cloud Dataflow
  • Cloud Dataprep
  • Cloud Dataproc
  • Cloud Bigtable
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Which Google Cloud service is designed for large-scale data warehousing and analytics?

  • Google Cloud Dataprep
  • Google Cloud Dataprep
  • Google BigQuery
  • Google Cloud Storage
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In Google Cloud Storage, what is the storage class that provides the lowest storage cost but with a longer data retrieval time?

  • Standard
  • Nearline
  • Nearline
  • Archive
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Which Google Cloud product can be used for large-scale batch data processing and analytics?

  • Cloud Bigtable
  • Cloud Datastore
  • BigQuery
  • Cloud Spanner
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What is Cloud Storage Nearline primarily used for in data engineering?

  • Archiving data that is accessed less frequently
  • Real-time data analysis
  • Real-time data analysis
  • Near real-time data processing
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What does the "ETL" acronym stand for in the context of data engineering?

  • Extract, Transfer, Load
  • Extract, Transform, Load
  • Execute, Transform, Load
  • Export, Transfer, Load
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What is the purpose of Google Cloud Storage classes like Nearline and Coldline?

  • High-performance data processing
  • Long-term archiving and backup
  • Real-time stream processing
  • Data analytics and machine learning
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What is the purpose of Google Dataflow in the data processing pipeline?

  • Data storage and retrieval
  • Real-time data analytics
  • Real-time data analytics
  • Database administration
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Which Google Cloud service provides a fully managed Apache Hadoop and Spark service for big data processing?

  • Google Cloud Dataflow
  • Google Cloud Dataflow
  • Google Cloud Dataflow
  • Google Cloud Dataproc
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What is the purpose of Google Cloud Composer?

  • Data preparation and transformation
  • ETL (Extract, Transform, Load) workflows
  • Real-time stream processing
  • Data warehousing and querying
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What Google Cloud service allows you to create custom virtual machine images and manage instance groups?

  • Compute Engine
  • Cloud Storage
  • Cloud Bigtable
  • Cloud Dataprep
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