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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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Which Google Cloud service is a serverless, fully managed data integration service that allows you to move data from various sources to various destinations?

  • Google Dataprep
  • Google Cloud Dataflow
  • Google BigQuery
  • Google Cloud Data Transfer Service
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What is the primary function of Google BigQuery in a data engineering context?

  • Data storage and backup
  • ETL (Extract, Transform, Load) processing
  • Real-time data streaming
  • Analyzing and querying large datasets
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What does the term "Data Lake" refer to in the context of data engineering?

  • A repository for structured and processed data
  • A centralized data storage for real-time data
  • A storage repository for raw, unstructured data
  • A data analysis platform
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Which Google Cloud service provides a serverless data warehouse for running fast and scalable SQL queries?

  • Google Cloud Pub/Sub
  • Google Bigtable
  • Google Bigtable
  • Google BigQuery
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Which Google Cloud service is commonly used for creating and managing data pipelines for batch and stream processing?

  • Google Cloud Pub/Sub
  • Google Cloud Dataprep
  • Google Cloud Dataflow
  • Google BigQuery
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Which Google Cloud service is commonly used for batch processing and data warehousing?

  • Google Cloud Dataflow
  • Google BigQuery
  • Google Cloud Pub/Sub
  • Google Cloud Spanner
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Which Google Cloud service is designed for storing and managing large volumes of unstructured or semi-structured data?

  • Google Cloud SQL
  • Google Cloud SQL
  • Google Cloud Storage
  • Google Cloud Storage
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Which Google Cloud service is a managed NoSQL database suitable for large-scale data applications?

  • Google Cloud Bigtable
  • Google Cloud Datastore
  • Google Cloud Firestore
  • Google Cloud Spanner
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What is the primary goal of Data Governance in data engineering?

  • Automating data storage
  • Ensuring data is accessible by everyone in the organization
  • Ensuring data quality, security, and compliance
  • Managing data transfer between locations
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What is Google Cloud Dataprep used for in a data engineering context?

  • Real-time data analytics
  • Data cleansing and transformation
  • Data warehousing
  • Streamlining data storage
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What does "schema-on-read" mean in the context of data storage and processing?

  • Defining data structures in advance
  • Extracting data from external sources
  • Structuring data when it's read, not when it's written
  • A data compression technique
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What is the primary use case for Google Cloud Dataflow?

  • Managing virtual machines
  • Real-time data processing
  • Data warehousing
  • Code version control
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