Uniq Processing Azure Cloud Administrator Interview Questions and Answers

Being perfect with basic MS is important for an Azure Cloud Administrator.

• Basic MS knowledge includes understanding of Windows Server, Active Directory, and PowerShell.

• An Azure Cloud Administrator should be proficient in managing virtual machines, storage accounts, and networking.

• Knowledge of Azure Resource Manager templates and Azure CLI is also important.

• Examples of basic MS tasks include creating user accounts, conf...read more

The output after inner join of table 1 and table 2 will be 2,3,5.

• Inner join only includes rows that have matching values in both tables.

• Values 2, 3, and 5 are present in both tables, so they will be included in the output.

• Null values are not considered as matching values in inner join.

The project involves building a data pipeline to ingest, process, and analyze large volumes of data from various sources in Azure.

• Utilizing Azure Data Factory for data ingestion and orchestration

• Implementing Azure Databricks for data processing and transformation

• Storing processed data in Azure Data Lake Storage

• Using Azure Synapse Analytics for data warehousing and analytics

• Leveraging Azure DevOps for CI/CD pipeline aut

Designing an effective ADF pipeline involves considering various metrics and factors.

• Understand the data sources and destinations

• Identify the dependencies between activities

• Optimize data movement and processing for performance

• Monitor and track pipeline execution for troubleshooting

• Consider security and compliance requirements

• Use parameterization and dynamic content for flexibility

• Implement error handling and retries fo

Azure Data Factory is a cloud-based data integration service that allows you to create, schedule, and manage data pipelines.

• Azure Data Factory is used to move and transform data from various sources to destinations.

• It supports data integration and orchestration of workflows.

• You can monitor and manage data pipelines using Azure Data Factory.

• It provides a visual interface for designing and monitoring data pipelines.

• Azure...read more

Azure Data Lake is a scalable data storage and analytics service provided by Microsoft Azure.

• Azure Data Lake Store is a secure data repository that allows you to store and analyze petabytes of data.

• Azure Data Lake Analytics is a distributed analytics service that can process big data using Apache Hadoop and Apache Spark.

• It is designed for big data processing and analytics tasks, providing high performance and scalabili

An index in a table is a data structure that improves the speed of data retrieval operations on a database table.

• Indexes are used to quickly locate data without having to search every row in a table.

• They can be created on one or more columns in a table.

• Examples of indexes include primary keys, unique constraints, and non-unique indexes.

I connect onPrem to Azure using Azure ExpressRoute or VPN Gateway.

• Use Azure ExpressRoute for private connection through a dedicated connection.

• Set up a VPN Gateway for secure connection over the internet.

• Ensure proper network configurations and security settings.

• Use Azure Virtual Network Gateway to establish the connection.

• Consider using Azure Site-to-Site VPN for connecting onPremises network to Azure Virtual Network.

Autoloader in Databricks is a feature that automatically loads new data files as they arrive in a specified directory.

• Autoloader monitors a specified directory for new data files and loads them into a Databricks table.

• It supports various file formats such as CSV, JSON, Parquet, Avro, and ORC.

• Autoloader simplifies the process of ingesting streaming data into Databricks without the need for manual intervention.

• It can be ...read more

Json data normalization involves structuring data to eliminate redundancy and improve efficiency.

• Identify repeating groups of data

• Create separate tables for each group

• Establish relationships between tables using foreign keys

• Eliminate redundant data by referencing shared values

Challenges in production deployment include scalability, data consistency, and monitoring.

• Ensuring scalability to handle increasing data volumes and user loads

• Maintaining data consistency across different databases and systems

• Implementing effective monitoring and alerting to quickly identify and resolve issues

Developed a data pipeline to ingest, process, and analyze customer feedback data for a retail company.

• Used Azure Data Factory to orchestrate data flow

• Implemented Azure Databricks for data processing and analysis

• Utilized Azure Synapse Analytics for data warehousing

• Generated visualizations using Power BI for insights

• Implemented machine learning models for sentiment analysis

The problem of slow performance in Amazon can be attributed to various factors.

• Insufficient server capacity leading to high latency

• Network congestion causing delays in data transfer

• Inefficient code or algorithms affecting processing speed

• Inadequate optimization of database queries

• Heavy traffic load impacting overall system performance

Amazon's product is a popular online marketplace and cloud computing platform.

• Amazon's product offers a wide range of products and services for customers and businesses.

• It allows individuals and companies to sell and buy products online.

• Amazon's product also provides cloud computing services through Amazon Web Services (AWS).

• Some examples of Amazon's product include Amazon Prime, Amazon Echo, and Amazon Web Services (A

Polybase is a feature in Azure SQL Data Warehouse that allows users to query data stored in Hadoop or Azure Blob Storage.

• Polybase enables users to access and query external data sources without moving the data into the database.

• It provides a virtualization layer that allows SQL queries to seamlessly integrate with data stored in Hadoop or Azure Blob Storage.

• Polybase can significantly improve query performance by levera...read more

Docker file is used to build a Docker image by specifying the instructions to create the image.

• Docker file contains instructions for building a Docker image, such as base image, dependencies, commands, etc.

• Each instruction in the Docker file creates a layer in the image, allowing for efficient image building and sharing.

• Example: FROM, RUN, COPY, CMD are common instructions used in a Docker file.