48 real Cloud Stack questions from the Data Engineering bank, as asked in Indian campus drives and tech interviews. Every question has a verified answer and an AI-tutor explanation on placd — free to start.
1. What is AWS Glue?
Junior
A.A serverless AWS ETL and data-integration service with a managed Spark runtime and a central Data Catalog for schema metadata.
B.Microsoft's unified SaaS analytics platform combining data engineering, warehousing, and BI on a single lake foundation called OneLake.
C.Google Cloud's object storage service used as the data-lake layer for BigQuery, Dataflow, and Spark workloads.
D.Azure Data Lake Storage Gen2, object storage with a hierarchical namespace optimized for big-data analytics workloads.
A.AWS Glue — Azure's managed data-integration service for building ETL and ELT pipelines with code-free mapping data flows and many connectors.
B.AWS Glue — Azure Data Lake Storage Gen2, object storage with a hierarchical namespace optimized for big-data analytics workloads.
C.AWS Glue — A serverless AWS ETL and data-integration service with a managed Spark runtime and a central Data Catalog for schema metadata.
D.AWS Glue — Microsoft Fabric's single, tenant-wide logical data lake that stores all workspace data in open Delta format with shortcuts to external sources.
A.Dataflow — A layered lakehouse design organizing data into bronze (raw), silver (cleaned), and gold (curated) zones of increasing quality and aggregation.
B.Dataflow — An AWS serverless query service that runs SQL directly over data in S3 using Presto/Trino, billed per data scanned.
C.Dataflow — A serverless AWS ETL and data-integration service with a managed Spark runtime and a central Data Catalog for schema metadata.
D.Dataflow — Google Cloud's managed, autoscaling service for running Apache Beam batch and streaming pipelines.
A.Cloud Composer — Microsoft Fabric's single, tenant-wide logical data lake that stores all workspace data in open Delta format with shortcuts to external sources.
B.Cloud Composer — Azure's integrated analytics service combining data warehousing and big-data Spark processing, now converging into Microsoft Fabric.
C.Cloud Composer — A service tracking table metadata and pointers (such as Iceberg REST catalog, Unity Catalog, or Glue) so multiple engines query the same tables consistently.
D.Cloud Composer — Google Cloud's managed Apache Airflow service for authoring and scheduling workflows.
14. Which term means: "Azure's managed data-integration service for building ETL and ELT pipelines with code-free mapping data flows and many connectors."?
A.Azure Data Factory — Google Cloud's object storage service used as the data-lake layer for BigQuery, Dataflow, and Spark workloads.
B.Azure Data Factory — Azure's managed data-integration service for building ETL and ELT pipelines with code-free mapping data flows and many connectors.
C.Azure Data Factory — A service tracking table metadata and pointers (such as Iceberg REST catalog, Unity Catalog, or Glue) so multiple engines query the same tables consistently.
D.Azure Data Factory — An in-process columnar analytics database (the SQLite of OLAP) ideal for fast local analysis of Parquet and CSV without a server.
17. Which term means: "Microsoft's unified SaaS analytics platform combining data engineering, warehousing, and BI on a single lake foundation called OneLake."?
A.Microsoft Fabric — Google Cloud's object storage service used as the data-lake layer for BigQuery, Dataflow, and Spark workloads.
B.Microsoft Fabric — Microsoft's unified SaaS analytics platform combining data engineering, warehousing, and BI on a single lake foundation called OneLake.
C.Microsoft Fabric — Azure Data Lake Storage Gen2, object storage with a hierarchical namespace optimized for big-data analytics workloads.
D.Microsoft Fabric — Google Cloud's managed Apache Airflow service for authoring and scheduling workflows.
20. Which term means: "Microsoft Fabric's single, tenant-wide logical data lake that stores all workspace data in open Delta format with shortcuts to external sources."?
A.OneLake — Azure's managed data-integration service for building ETL and ELT pipelines with code-free mapping data flows and many connectors.
B.OneLake — An AWS serverless query service that runs SQL directly over data in S3 using Presto/Trino, billed per data scanned.
C.OneLake — A service tracking table metadata and pointers (such as Iceberg REST catalog, Unity Catalog, or Glue) so multiple engines query the same tables consistently.
D.OneLake — Microsoft Fabric's single, tenant-wide logical data lake that stores all workspace data in open Delta format with shortcuts to external sources.
A.A service tracking table metadata and pointers (such as Iceberg REST catalog, Unity Catalog, or Glue) so multiple engines query the same tables consistently.
B.Microsoft Fabric's single, tenant-wide logical data lake that stores all workspace data in open Delta format with shortcuts to external sources.
C.Google Cloud's managed Apache Airflow service for authoring and scheduling workflows.
D.Azure's integrated analytics service combining data warehousing and big-data Spark processing, now converging into Microsoft Fabric.
23. Which term means: "Azure's integrated analytics service combining data warehousing and big-data Spark processing, now converging into Microsoft Fabric."?
A.Synapse Analytics — Google Cloud's managed Apache Airflow service for authoring and scheduling workflows.
B.Synapse Analytics — A layered lakehouse design organizing data into bronze (raw), silver (cleaned), and gold (curated) zones of increasing quality and aggregation.
C.Synapse Analytics — Microsoft's unified SaaS analytics platform combining data engineering, warehousing, and BI on a single lake foundation called OneLake.
D.Synapse Analytics — Azure's integrated analytics service combining data warehousing and big-data Spark processing, now converging into Microsoft Fabric.
29. Which term means: "An in-process columnar analytics database (the SQLite of OLAP) ideal for fast local analysis of Parquet and CSV without a server."?
A.DuckDB — An in-process columnar analytics database (the SQLite of OLAP) ideal for fast local analysis of Parquet and CSV without a server.
B.DuckDB — Azure Data Lake Storage Gen2, object storage with a hierarchical namespace optimized for big-data analytics workloads.
C.DuckDB — A service tracking table metadata and pointers (such as Iceberg REST catalog, Unity Catalog, or Glue) so multiple engines query the same tables consistently.
D.DuckDB — Azure's integrated analytics service combining data warehousing and big-data Spark processing, now converging into Microsoft Fabric.
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