Azure Data Lake Storage Gen2 and Azure Synapse Analytics: Questions and
Answers, Exams of Advanced Education
What are data warehouses? - ANSWERRelational database systems used for
BI solutions.
Why have many BI solutions lost out on storing unstructured data? -
ANSWERCost and complexity in storing unstructured data in databases.
What is a data lake? - ANSWERFile-based storage for structured, semi-
structured, and unstructured data.
What type of file system does a data lake usually use? - ANSWERDistributed
file system.
What does a data lake support? - ANSWERHigh scalability for massive
volumes of data.
What are some big data processing technologies that can consume data from
a data lake? - ANSWERApache Spark.
, What is Azure Data Lake Storage Gen2? - ANSWERCloud-based solution for
data lake storage in Microsoft Azure.
What does Azure Data Lake Storage Gen2 underpin? - ANSWERMany large-
scale analytics solutions built on Azure.
What is Azure Data Lake Storage? - ANSWERA comprehensive, scalable,
secure, and cost-effective data lake solution in Azure.
What is the purpose of Azure Data Lake Storage? - ANSWERTo quickly identify
insights into data and optimize it for analytics workloads.
What does Azure Data Lake Storage combine? - ANSWERA file system with a
storage platform.
What capabilities does Azure Data Lake Storage build on? - ANSWERAzure
Blob storage capabilities.
What are the benefits of using Azure Data Lake Storage? - ANSWERDealing
with variety and volume of data at exabyte scale, real-time and batch
solutions.
What is Hadoop compatible access? - ANSWERTreating data as if it's stored in
a Hadoop Distributed File System (HDFS).
What are some compute technologies that can access data in Azure Data
Lake Storage? - ANSWERAzure Databricks, Azure HDInsight, and Azure
Synapse Analytics.
Answers, Exams of Advanced Education
What are data warehouses? - ANSWERRelational database systems used for
BI solutions.
Why have many BI solutions lost out on storing unstructured data? -
ANSWERCost and complexity in storing unstructured data in databases.
What is a data lake? - ANSWERFile-based storage for structured, semi-
structured, and unstructured data.
What type of file system does a data lake usually use? - ANSWERDistributed
file system.
What does a data lake support? - ANSWERHigh scalability for massive
volumes of data.
What are some big data processing technologies that can consume data from
a data lake? - ANSWERApache Spark.
, What is Azure Data Lake Storage Gen2? - ANSWERCloud-based solution for
data lake storage in Microsoft Azure.
What does Azure Data Lake Storage Gen2 underpin? - ANSWERMany large-
scale analytics solutions built on Azure.
What is Azure Data Lake Storage? - ANSWERA comprehensive, scalable,
secure, and cost-effective data lake solution in Azure.
What is the purpose of Azure Data Lake Storage? - ANSWERTo quickly identify
insights into data and optimize it for analytics workloads.
What does Azure Data Lake Storage combine? - ANSWERA file system with a
storage platform.
What capabilities does Azure Data Lake Storage build on? - ANSWERAzure
Blob storage capabilities.
What are the benefits of using Azure Data Lake Storage? - ANSWERDealing
with variety and volume of data at exabyte scale, real-time and batch
solutions.
What is Hadoop compatible access? - ANSWERTreating data as if it's stored in
a Hadoop Distributed File System (HDFS).
What are some compute technologies that can access data in Azure Data
Lake Storage? - ANSWERAzure Databricks, Azure HDInsight, and Azure
Synapse Analytics.
