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Set True/False
1) Spark is part of Hadoop Ecosystem
2) Databricks Spark can be installed on on-prem machine
3) Storage includes Blob, ADLS and VM
4) Data Factory is ETL tool
5) Azure SQL DB is alternative to ADLS storage
6) Compute and Storage are same
7) Compute includes CPU, IO and Memory
8) Azure does not help for on-prem data migration to cloud
9) Azure SQL DB can be paused.
10)All Blob storage features available in ADLS Gen2

Select correct choice
1) Spark offered by Cloudera -- (1) Enhanced version of Apache Spark (2) Built on Hadoop (3) Built core engine from Scratch
2) Odd one out – (1) Blob Storage (2) Disk (3) SQL DB (4) Azure Data Lake Storage
3) Odd one out -- (1) VM (2) Databricks (3) ADF (4) SQL DB [Hint: Pricing]
4) Data on ADLS Gen1 is accessed using driver – (1) DBFS (2) ABFS (3) ADLA (4) WASB
5) Azure SQL DB does not offer -- (1) Relational DB (2) Threat Detection (3) NoSQL Data storage (4) Firewall configuration

Descriptive Questions
1) Why Databricks over HDInsight?
2) What are magic commands? In what scenario those are required?
3) Does ADF support to connect to on-prem systems? How?
4) What are different options available in Azure SQL DB sizing?
5) Is SQL DW same as Azure SQL DB?
6) Are you allowed to create SQL logins on Azure SQL DB & DW?
7) What is linked services in ADF? How that is different from IR?
8) Can there be compute without storage? Give me example.
9) Where you will keep PII data – in Databricks tables or SQL DB or ADLS Storage?
10)Explain DataFrame in Spark.
11)Why you prefer Blob over ADLS Gen2?


Last updated on: 04-Sep-2019.


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