Introduction
When we are getting ready for an Azure Databricks interview, we should know what kind of questions that can be asked. Most of the time, interviewers want to check if we really understand how Databricks works.
They also want to see if we can use it in real projects and how comfortable we are with its features. So in this blog, we will go through some common and simple questions.
As these Azure databricks interview questions are helpful for you. We will discuss some of azure databricks interview questions below.
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1. What is Azure Databricks?
Answer :
Azure Databricks is a cloud platform. We use it to work with big data and machine learning.
We use it to write code, process data, and work with different tools.
2. How is Azure Databricks different from regular Databricks?
Answer :
We know that Databricks can run on different clouds and Azure Databricks runs only on Microsoft Azure. It works nicely with other Azure tools like::
- Azure Data Lake
- Azure SQL
- Azure Blob Storage
So, we can use Databricks along with these services easily.
Read More- What is Azure Data Engineer
3. What is a notebook in Databricks?
Answer :
A notebook is a place where we can type code and see it work.
In Databricks, we can use coding languages like:
- Python
- SQL
- Scala
- R
We can also write short notes to explain what the code states like in the comment section.
Basically, the notebook keeps our code, notes, and output in one place.
4. What is a cluster?
Answer :
A cluster is many computers that work together like one big computer.
They work together and help like a team.. When one computer cannot do all the work alone, the other computers help.
When we want to run some code in Databricks, we need something called a cluster. A cluster is a group of computers that help us run the code. One computer is not enough to do big work, so the cluster uses many computers to do the job. Without a cluster, our code will not run in DatabricksWhen we have a lot of data.
5. What languages can we use in Databricks?
Answer :
We can write code using:
- Python
- SQL
- Scala
- R
Most of the time, we use Python or SQL because they are easy to use.
6.What is not the same between a notebook and a job?
Answer:
A notebook is where we write and test our code.
A job is used when we want to run that code automatically.
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7. How do we connect Databricks to other data sources?
Answer :
We can connect Databricks to:
- Azure Data Lake
- Azure SQL
- Azure Blob Storage
We usually use mount points or connection strings to do this.
After that, we can read and write data without any problem.
8. What is Delta Lake in Databricks?
Answer :
Delta Lake is like a special safe place inside Databricks where we keep our data. It helps us keep the data right and clean.
Because of Delta Lake, it becomes easy for us to find the data we need.
- Update data
- Delete data
- Merge data
- Keep old versions of the data.
9. What is the difference between batch and streaming?
Answer :
Batch means we handle or work on all the data at the same time, not little by little.
We wait until we have a big group of data, then we process it all together.
Streaming means we process data as it comes in.
Like if we are getting live data from sensors or websites, we work on it in real-time.
10. What is Databricks Runtime?
Answer :
Databricks Runtime is a special version of Databricks that has extra tools and things inside it. These extra things help us run our code faster and better. So, when we use Databricks Runtime, our work can be easier and quicker than normal.
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11. What is Auto-scaling in Databricks?
Answer :
Auto-scaling means the cluster size can grow or shrink based on the work.
So we don’t need to manage the number of machines.
12. What is a Databricks job cluster?
Answer :
A job cluster is a short-time cluster made only to run a job.
After the job finishes running and all the work is complete, the cluster stops working and goes away.
This helps save cost.
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13. Can we schedule a job in Databricks?
Answer :
Yes, we can schedule jobs in Databricks.
We can choose when the job should run.
This is useful for automation.
14. What is the use of MLflow in Databricks?
Answer :
MLflow helps us manage machine learning experiments.
We can track the models, versions, and results.
It is built inside Databricks and is very useful for ML work.
15. What is DBFS?
Answer :
DBFS means Databricks File System.
It is a place where we can store files, notebooks, data, and libraries.
We can use it like a folder to keep all things together.
Conclusion
We should remember one thing — we don’t need to know everything, but we should understand the basics. So basically these azure databricks interview questions are helpful for your interview and also for your understanding also.
If we can explain Databricks in a simple and clear way, that’s good enough for most interviews.
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