In this blog, we are going to cover Microsoft Azure Data Engineer Associate DP-203 Interview Questions that give you an idea and understanding that generally what type of questions are asked when someone starts their journey in the data engineering field.
Data Engineer has duties and responsibilities to administrate the unorganized data and new data types like streaming data. It demands learning and knowledge on how to practice a new set of tools, mechanisms, platforms, additional technologies such as HDInsight and Cosmos DB, and programming languages such as SQL or Python. And, becoming a Data Engineer requires ace a job interview. So, for your assistance, we at K21Academy are providing this article which includes the more occurring interview questions and their answers.
If you are preparing for the Microsoft Azure Data Engineer Associate Certification [DP-203] Interview. Then check your readiness by attending to these questions for the Azure Data Engineer Associate level to crack the interview.
Let’s start with some general Azure Data Engineer Questions.
Q.1 Define data engineering.
Data engineering is the complex task of making raw data used by data scientists and groups within an organization. In addition to making data accessible, data engineers create raw data analyses to provide predictive models and show trends for the short- and long term.
Q.2 Explain Azure Data Factory.
Cloud-based integration assistance grants creating data-driven workflows in the cloud for organizing and automating data movement and data transmutation.
- Managing Azure data factory, one can design and schedule the data-driven workflows known as pipelines that can ingest data from different data stores.
- It can prepare and mold the data by utilizing compute services such as Spark, HDInsight Hadoop, Azure Machine Learning, and Azure Data Lake Analytics.
For more information, see Azure Data Factory For Beginners
Q.3 How is Delta Lake related to Apache Spark?
Ans: Delta Lake sits on top of Apache Spark. The format and the compute layer helps to simplify building big data pipelines and increase the overall efficiency of your pipelines.
Q.4 What is Databricks Runtime?
Ans: Databricks Runtime includes Apache Spark but also adds a number of components and updates that substantially improve the usability, performance, and security of big data analytics.
For more information, see Azure Databricks For Beginners
Q.5 What are azure data bricks clusters?
Ans: An Azure Databricks cluster is a set of computation resources and configurations on which you run data engineerings, data science, and data analytics workloads, such as production ETL pipelines, streaming analytics, ad-hoc analytics, and machine learning.
Q.6 What is Cosmos DB?
Ans: Azure Cosmos DB is a globally distributed, multi-model database service for any scale. The service was built from the ground up with global distribution and horizontal scale at its core. With turnkey global distribution across any number of Azure regions, Azure Cosmos DB transparently scales and replicates your data wherever your users are. Elastically scale your writes and reads all around the globe and pay only for what you need. Azure Cosmos DB provides native support for NoSQL and OSS APIs, including MongoDB, Cassandra, Gremlin, etc, Spark, and SQL. It also offers multiple well-defined consistency models, guaranteed single-digit millisecond read and write latencies at the 99th percentile, and guaranteed 99.999-percent high availability with multi-homing anywhere in the world—all backed by industry-leading, comprehensive SLAs.
Azure Cosmos DB is a fully managed service that enables you to offload the administrative burdens of operating and scaling distributed databases to Azure, so you do not have to worry about managing VMs, hardware provisioning, setup, and configuration, capacity, replication, software patching, or cluster scaling.
Q.7 What is a logical partition?
Ans: A logical partition consists of a set of items that have the same partition key. For example, in a container that contains data about food nutrition, all items contain a food group property. You can use the food group as the partition key for the container. Groups of items that have specific values for food groups, such as Beef Products, Baked Products, and Sausages, and Luncheon Meats, form distinct logical partitions. You don’t have to worry about deleting a logical partition when the underlying data is deleted.
Q.8 How to choose between standard (manual) and autoscale provisioned throughput?
Ans: Azure Cosmos DB supports two types or offers of provisioned throughput: standard (manual) and autoscale. Both throughput types are suitable for mission-critical workloads that require high performance and scale and are backed by the same Azure Cosmos DB SLAs on throughput, availability, latency, and consistency.
Q.9 What is Azure role-based access control in Azure Cosmos DB?
Ans: Azure Cosmos DB provides built-in Azure role-based access control (Azure RBAC) for common management scenarios in Azure Cosmos DB. An individual who has a profile in Azure Active Directory can assign these Azure roles to users, groups, service principals, or managed identities to grant or deny access to resources and operations on Azure Cosmos DB resources. Role assignments are scoped to control-plane access only, which includes access to Azure Cosmos accounts, databases, containers, and offers (throughput).
Q.10 What is Azure Synapse Link for Azure Cosmos DB?
Ans: Azure Synapse Link for Azure Cosmos DB is a cloud-native hybrid transactional and analytical processing (HTAP) capability that enables you to run near real-time analytics over operational data in Azure Cosmos DB. Azure Synapse Link creates a tight seamless integration between Azure Cosmos DB and Azure Synapse Analytics.
Download the Complete Microsoft Azure Data Engineer Associate DP-203 Interview Questions
These are some of the frequently asked questions during an interview for the Microsoft Azure Data Engineer role.
In any case, you will need to tap into an exhaustive question bank to practice more before the scheduled interview, Click here to download 80+ Questions
Feel free to drop any questions in the comment box, I would love to address them. I hope you enjoyed the article. Best of luck!
Related/References
- Microsoft Certified Azure Data Engineer Associate | DP 203 | Step By Step Activity Guides (Hands-On Labs)
- Exam DP-203: Data Engineering on Microsoft Azure
- Azure Data Lake For Beginners: All you Need To Know
- Batch Processing Vs Stream Processing: All you Need To Know
Next Task For You
In our Azure Data Engineer training program, we will cover 27 Hands-On Labs. If you want to begin your journey towards becoming a Microsoft Certified: Azure Data Engineer Associate by check our FREE CLASS.
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