This Quiz contains totally 25 Questions each carry 1 point for you.
1.What is Databricks?
A data storage service
A data processing service
A distributed data processing platform
A machine learning platform
Correct!
Wrong!
2.What is the core technology behind Databricks?
Hadoop
Apache Spark
Apache Flink
Apache Kafka
Correct!
Wrong!
3.What is a Databricks workspace?
A storage unit for data
A collaborative environment
A collection of Databricks clusters
A machine learning model
Correct!
Wrong!
4.Which of the following is NOT a Databricks cluster type?
Interactive clusters
Job clusters
High-concurrency clusters
Single-node clusters
Correct!
Wrong!
5.How can you optimize the cost of running Databricks workloads?
Use spot instances
Autoscaling
Cluster termination
All of the above
Correct!
Wrong!
6.Which of the following is a Databricks-supported application?
Apache Flink
Delta Lake
Apache Cassandra
Apache HBase
Correct!
Wrong!
7.What is the purpose of Databricks job clusters?
To run interactive notebooks
To run scheduled jobs
To store data
To analyze data in real-time
Correct!
Wrong!
8.What is the main advantage of using Delta Lake in Databricks?
Real-time data processing
ACID transactions and data reliability
Data warehousing
Advanced analytics
Correct!
Wrong!
9.Which of the following is NOT a component of the Databricks architecture?
Databricks File System (DBFS)
Databricks Runtime
Databricks ResourceManager
Databricks Connect
Correct!
Wrong!
10.What is the Databricks File System (DBFS)?
A distributed file system
A relational database
An object storage service
A data lake solution
Correct!
Wrong!
11.What is the purpose of Databricks Connect?
Connecting Databricks with external data sources
Running Databricks notebooks on local machines
Integrating Databricks with external applications
Connecting Databricks with third-party visualization tools
Correct!
Wrong!
12.What is the primary purpose of Databricks Runtime?
To provide a runtime environment for Spark applications
To manage clusters
To schedule jobs
To store data
Correct!
Wrong!
13.Which of the following is a best practice for managing Databricks clusters?
Running multiple workloads on a single cluster
Using instance pools for faster cluster start times
Keeping clusters running indefinitely
Using oversized instances for all workloads
Correct!
Wrong!
14.Which of the following is NOT a monitoring option in Databricks?
Databricks console
REST API
Email notifications
Slack integration
Correct!
Wrong!
15.Which of the following languages is supported in Databricks notebooks?
Python
Java
Ruby
JavaScript
Correct!
Wrong!
16.What is the primary purpose of Databricks Delta?
Data lake management
Stream processing
Data warehousing
Data visualization
Correct!
Wrong!
17.Which of the following is a way to optimize the performance of Spark applications in Databricks?
Data partitioning
Data caching
Broadcast variables
All of the above
Correct!
Wrong!
18.What is the purpose of using Autoscaling in Databricks clusters?
To automatically adjust the number of worker nodes based on workload
To automatically scale the storage capacity of a cluster
To automatically balance the workload among available clusters
To automatically launch new clusters when needed
Correct!
Wrong!
19.Which of the following is NOT a feature of Delta Lake?
ACID transactions
Schema enforcement
Real-time stream processing
Graph processing
Correct!
Wrong!
20.Which of the following is a Databricks cost optimization best practice?
Always using on-demand instances
Running multiple workloads on a single cluster
Using autoscaling and spot instances
Never terminating idle clusters
Correct!
Wrong!
21.What is the primary use case for high-concurrency clusters in Databricks?
Running large-scale ETL jobs
Serving multiple users concurrently
Storing large amounts of data
Running machine learning algorithms
Correct!
Wrong!
22.How can you monitor the progress of a running job in Databricks?
Using the Databricks console
Checking the cluster logs
Querying the REST API
All of the above
Correct!
Wrong!
23.Which of the following is a supported data source for Databricks?
Amazon S3
Google Cloud Storage
Azure Blob Storage
All of the above
Correct!
Wrong!
24.What is the purpose of using instance pools in Databricks?
To create a shared pool of instances for multiple clusters
To manage the lifecycle of instances in a cluster
To allocate instances to users based on their requirements
To enable users to choose instances from a predefined list
Correct!
Wrong!
25.Which of the following is a best practice for running Databricks jobs?
Running multiple jobs on a single cluster
Using job clusters for each job
Scheduling jobs during peak hours
Running all jobs on high-concurrency clusters
Correct!
Wrong!
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Azure Data Engineering Databricks – Quiz
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