Tuesday, March 5, 2024

Microsoft Data Engineer Interview Questions

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What Is Azure Synapse Runtime

Azure Data Engineer Interview Questions and Answers | K21Academy

Apache Spark pools in Azure Synapse use runtimes to tie together essential component versions, Azure Synapse optimizations, packages, and connectors with a specific Apache Spark version. These runtimes will be upgraded periodically to include new improvements, features, and patches.These runtimes have the following advantages:

  • Faster session startup times
  • Tested compatibility with specific Apache Spark versions
  • Access to popular, compatible connectors and open-source packages

Become A Data Engineer With Coursera

Interested in this in-demand career? Learn the skills you need to become a data engineer in 15 months or less with the IBM Data Engineering Professional Certificate on Coursera. Youâll be able to use Python and Linux/UNIX shell scripts to extract, transform, and load data, work with big data engines like Hadoop and Spark, and use business intelligence tools to extract insights.

Finally, this video from the University of California San Diego might be helpful for preparing for the technical interview. Although it is focused on software engineering rather than data, mastering the foundations of a technical interview may help you land the job.


As A Data Engineer How Would You Prepare To Develop A New Product

Hiring teams may question you about product development to determine how much you know about the product cycle and the data engineer’s role in it. When you respond, mention some of the ways your knowledge could streamline the development process and some of the questions you would consider to make the best possible product.

Example:âAs a lead data engineer, I would request an outline of the entire project so I can understand the complete scope and the particular requirements. Once I know what the stakeholders want and why, I would sketch some scenarios that might arise. Then I would use my understanding to begin developing data tables with the appropriate level of granularity.â

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What Is A Foreign Key In Sql

A foreign key is a field or a collection of fields in one table that can refer to the primary key in another table. The table which contains the foreign key is the child table, and the table containing the primary key is the parent table or the referenced table. The purpose of the foreign key constraint is to prevent actions that would destroy links between tables.

Azure Interview Questions And Answers

Azure Data Factory Top Interview Questions and Answers


What is an Azure cloud service?

This is an important Azure interview question. Azure cloud service is a traditional platform as a service example . It was created to enable applications that require great scalability, reliability, and availability while maintaining low operational costs. These applications are housed on virtual machines, and Azure gives developers more control over them by installing the appropriate software and controlling them remotely.

Azure cloud services aid in the application’s easier and more flexible scaling. Azure cloud services help deploy multi-tier web-based applications on Azure by launching a cloud service instance. It is also possible to establish numerous roles for distributed processing, such as web roles, worker roles, etc.

How many cloud service roles does Azure provide?

Cloud service roles comprise a collection of application and configuration files. Azure offers two types of roles: administrative and technical.

Web role: This role provides a dedicated IIS web server for the automatic deployment and hosting of front-end websites.

Worker roles: The worker roles allow the programs hosted within them to run asynchronously for extended periods, are independent of user interactions and do not typically use IIS. They are also suitable for carrying out background tasks. The applications are run independently.

What is Azure resource manager?

What exactly is an Azure Service Level Agreement ?

Why is the Azure diagnostics API required?

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Why Did You Choose A Career In Cloud Computing

These types of Azure interview questions require a thoughtful, honest response. By thinking through your answer ahead of time, youll be ready to say something your interviewer will approve of. Show that you care about the field and that you have a passion for cloud computing and the problems it can solve.

Data Engineer Interview Questions On Excel

Microsoft Excel is one of the most popular data engineering tools in the big data industry. In contrast to BI tools, which ingest processed data supplied by the data engineering pipeline, Excel gives data engineers flexibility and control over data entry. Here are some data engineer interview questions on Microsoft Excel and its features.

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Sample Basic Azure Data Engineer Interview Questions

  • Explain the main ETL service in Azure.
  • Why is the Azure Data Factory important?
  • What is the limit on the number of integration runtimes?
  • Differentiate between Azure Data Lake and Azure Data Warehouse.
  • Define the integration runtime.
  • You can also look at these top Data Engineer Interview Questions for practice.

    What Skills Does A Data Engineer Need

    Data Engineer Interview Questions | Data Engineer Interview Preparation | Intellipaat

    Below are some essential skills that a data engineer or any individual working in the data engineering field requires-

  • SQL: Data engineers are responsible for handling large amounts of data. Structured Query Language is required to work on structured data in relational database management systems . As a data engineer, it is essential to be thorough with using SQL for simple and complex queries and optimize queries as per requirements.

  • Data Architecture and Data Modeling: Data engineers are responsible for building complex database management systems. They are considered the gatekeepers of business-relevant data and must design and develop safe, secure, and efficient systems for data collection and processing.

  • Data Warehousing: It is important for data engineers to grasp building data warehouses and to work with them. Data warehouses allow the aggregation of unstructured data from different sources, which can be used for further efficient processing and analysis.

  • Programming Skills: The most popular programming languages used in Big Data Engineering are Python and R, which is why it is essential to be well versed in at least one of these languages.

  • Microsoft Excel: Excel allows developers to arrange their data into tables. It is a commonly used tool to organize and update data regularly if required. Excel provides many tools that can be used for data analysis, manipulation, and visualization.

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    What Are The System Requirements For This Aws Training And Certification

    We recommend the following system requirements for this AWS training and certification:

    • For Windows system: having a Windows XP SP3 or higher operating system will be helpful
    • For Mac system: OS X 10.6 or a higher version
    • Most importantly, the internet speed recommended for a smooth learning experience is 512 Kbps or higher
    • For better clarity, learners are advised to use headphones, speakers, and microphones.

    What Is Amazon Elastic Transcoder And How Does It Work

    • Amazon Elastic Transcoder is a cloud-based media transcoding service.

    • It’s intended to be a highly flexible, simple-to-use, and cost-effective solution for developers and organizations to transform media files from their original format into versions suitable for smartphones, tablets, and computers.

    • Amazon Elastic Transcoder also includes transcoding presets for standard output formats, so you don’t have to assume which parameters will work best on specific devices.

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    Design And Build A Data Warehouse For Managing Inventory

    A ubiquitous interview challenge for data engineering roles is being asked to do some data warehousing. A data warehouse is a type of data management system that contains large volumes of data and can be used to perform queries or data analytics.You could be asked to build a data warehouse for managing a catalog of courses, a digital archive of movies, and so on. Think about the goals for the data warehouse you will be building and what kind of queries would be useful for someone using it.

    • Identify the different entities involved
    • Consider the relationships between the entities
    • Visualize the relationships in a data model

    Once youve finished building out your data warehouse, you may be asked questions that resemble the following:

    • What is the average number of times a customer purchases one of our products in a 30-day period?
    • What promotions are most likely to increase sales?

    These questions can be answered by running queries in SQL.

    Questions About Experience And Background

    Microsoft Data Science Interview. Microsoft seeks to weave its ...

    The following background and experience questions help the hiring team evaluate your qualifications and assess whether your goals are in line with the organization’s values and objectives:

    • What would you bring to our organization?

    • What do you like most about your current job?

    • What do you like least about your current position?

    • Tell us about your data engineering work experience.

    • What do you appreciate most about data engineering?

    • What do you enjoy least about data engineering?

    • Can you describe your biggest accomplishment?

    • What is your preferred work environment?

    • Are you comfortable with reporting to superiors younger than you?

    • Do you consider yourself a leader?

    • What is your definition of professional success?

    • How do you envision your career path?

    • Where do you see yourself in five years?

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    How Can Amazon Route 53 Ensure High Availability While Maintaining Low Latency

    AWS’s highly available and stable infrastructure builds Route 53. The DNS servers’ widely distributed design helps maintain a constant ability to direct end-users to your application by avoiding internet or network-related issues. Route 53 delivers the level of dependability that specific systems demand. Route 53 uses a worldwide anycast network of DNS servers to automatically respond to inquiries from the best location available based on network circumstances. As a result, your end consumers will experience low query latency.

    Why You Will Use The Data Flow From The Azure Data Factory

    Data flow is used for a no-code transformation. For example when you are doing any ETL operation that you wanted to do a couple of transformations and put some logic on your input data. You may have not found it comfortable to type the query or when you are using the files as input then in that case you cannot write the query at all. Hence data flow will come as a Savior in this situation. Using the data flow you can just do drag and drop and write almost all your business logic without writing any code. Behind the scene, data flow get converted into the spark code and it will run on the cluster.

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    Microsoft Interview Questions On Data Science

    Microsoft interview questions on data science will focus on data manipulation, exploration, insights, and fluency, open-ended math questions to gauge your ability to investigate, analyze, and interpret data, and on statistics.

  • Do you prefer Python or R for text analytics?
  • Differentiate between cluster sampling and systematic sampling.
  • Differentiate between supervised and unsupervised learning.
  • Describe when a false positive is more important than a false negative and vice-versa.
  • Give a detailed description of the SVM algorithm, including support vectors and kernels.
  • Give a detailed explanation of the Decision Tree Algorithm, including entropy and information gain.
  • Is data cleaning important in analysis? Why or why not?
  • What is cross-validation?
  • What is a star schema?
  • What are Eigenvalues and Eigenvectors?
  • What Are The 4 Most Key Questions A Data Engineer Is Likely To Hear During An Interview

    Microsoft AZURE ENGINEER INTERVIEW | The questions you will be asked!

    The four most key questions a data engineer is likely to hear during an interview are

    • What is data modeling?

    • What are the four Vs of Big Data?

    • Do you have any experience working on Hadoop, and how did you enjoy it?

    • Do you have any experience working in a cloud computing environment, what are some challenges that you faced?

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    What Are The Different Data Redundancy Options In Azure Storage

    When it comes to data replication in the primary region, Azure Storage provides two choices:

    • Locally redundant storage replicates your data three times synchronously in a single physical location in the primary area. Although LRS is the cheapest replication method, it is unsuitable for high availability or durability applications.

    • Zone-redundant storage synchronizes data across three Azure availability zones in the primary region. Microsoft advises adopting ZRS in the primary region and replicating it in a secondary region for high-availability applications.

    Azure Storage provides two options for moving your data to a secondary area:

    • Geo-redundant storage synchronizes three copies of your data within a single physical location using LRS in the primary area. It moves your data to a single physical place in the secondary region asynchronously.

    • Geo-zone-redundant storage uses ZRS to synchronize data across three Azure availability zones in the primary region. It then asynchronously moves your data to a single physical place in the secondary region.

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    How Data Engineering Helps Businesses

    Data engineering is more significant than data science. Data engineering maintains the framework that enables data scientists to analyze data and create models. Without data engineering, data science is not possible. A successful data-driven company relies on data engineering. Data engineering makes it easier to build a data processing stack for data collection, storage, cleaning, and analysis in batches or in real time, making it ready for further data analysis.

    Furthermore, as businesses learn more about the significance of big data engineering, they turn towards AI-driven methodologies for end-to-end Data Engineering rather than employing the older techniques. Data engineering aids in finding useful data residing in any data warehouse with the help of advanced analytic methods. Data Engineering also allows businesses to collaborate with data and leads to efficient data processing.

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    Faqs On Azure Data Engineer Interview Questions

    Q1. What does an Azure Data Engineer do?

    Azure data engineers are responsible for the integration, transformation, operation, and consolidation of data from structured or unstructured data systems.

    Q2. What skills are needed to become an Azure data engineer?

    As an Azure data engineer, youâll need to have skills such as Database system management , Data warehousing, ETL tools, Machine Learning, knowledge of programming language basics , and so on.

    Q3. How to prepare for the Azure data engineer interview?

    Get a good understanding of Azureâs Modern Enterprise Data and Analytics Platform and build your knowledge across its other specialties. Further, you should also be able to communicate the business value of the Azure Data Platform.

    Q4. What are the important Azure data engineer interview questions?

    Some important questions are: What is the difference between Azure Data Lake Store and Blob storage? Differentiate between Control Flow activities and Data Flow Transformations. How is the Data factory pipeline manually executed?

    Q5. Are Azure data engineers in demand?

    The answer is yes. As per Microsoft, this year, almost 365,000 businesses registered for the Azure platform, which implies that the business and its needs are growing. So, itâs safe to say that Microsoft Azure data engineers are highly in demand.

    Mention Some Differences Between The Delete And Truncate Statements In Sql

    How to Ace an Azure Data Engineer Interview

    DELETE command

    TRUNCATE command

    The DELETE command helps to delete one specific row or more than one row corresponding to a certain condition.

    The TRUNCATE command helps to delete all rows of a table.

    It is a Data Manipulation Language command.

    It is a Data Definition Language command.

    In the case of the DELETE statement, rows are removed one at a time. The DELETE statement records an entry for each deleted row in the transaction log.

    Truncating a table removes the data associated with a table by deallocating the data pages that store the table data. Only the page deallocations get stored in the transaction log.

    The DELETE command is slower than the TRUNCATE command.

    The TRUNCATE command is faster than the DELETE command.

    You can only use the DELETE statement with DELETE permission for the table.

    Using the TRUNCATE command requires ALTER permission for the table.

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    What Are The Different Blob Storage Access Tiers In Azure

    • Hot tier – An online tier that stores regularly viewed or updated data. The Hot tier has the most expensive storage but the cheapest access.

    • Cool tier – An online layer designed for rarely storing data that is accessed or modified. The Cool tier offers reduced storage costs but higher access charges than the Hot tier.

    • Archive tier – An offline tier designed for storing data accessed rarely and with variable latency requirements. You should keep the Archive tier’s data for at least 180 days.

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    Top Data Engineer Interview Questions And Answers

    Data engineering includes all the systems, practices and workflows that help develop and build systems for data storage, collection and analysis at a large scale. This domain has vast applications in nearly every industry across the global market. Data engineering is a multi-disciplinary industry where engineers are instrumental in defining data pipelines while collaborating with software developers, data analysts and data scientists.

    A data engineer is responsible for creating systems to collect, analyse and transform raw data into usable data for data professionals to understand and process. According to industry trends today, data engineering as a career has a bright and promising future. The dependence on data is growing exponentially as increasing volumes of data are generated each day from a wide range of sources. With more and more companies hiring competent and skilled data engineers, the number of job roles has increased significantly. However, this also means a high level of competition. For this reason, it helps if you know which data engineering interview questions you should prepare for to have a better chance of getting the job you want.

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