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Azure Solutions Architect Expert

Domain 2Objective 3

Design Data Integration AZ-305 Practice Questions (Page 2)

Part of the Design data storage solutions domain, which makes up ~25% of our current practice bank. Microsoft does not publish an official question count, but from its 120-minute exam (~50–80 total, ~13–20 in this domain), expect 4–7 from this objective — we provide 28 practice questions to prepare you well beyond it. (estimate)

28questions here
6free pages
7concepts

Questions 6–10

  1. 6application · medium

    A manufacturing company uses Azure Synapse Analytics to store sensor data from factory equipment. Data engineers run SQL queries to analyze machine performance. The company wants to provide business analysts with a way to create interactive reports without writing SQL. What should you do?

    Select an answer first
  2. 7foundation · easy

    An organization needs to automate a business process that sends an approval email when a new file is uploaded to a SharePoint site, and then updates a record in a CRM system. Which Azure service is best suited for this integration scenario?

    Select an answer first
  3. 8foundation · easy

    A data science team wants to use a trained machine learning model to score new data that is stored in Azure Data Lake Storage. They plan to use Azure Databricks for data preparation and then call the model for predictions. Which Azure service should they integrate with Databricks to manage the model lifecycle and deploy the model as a web service?

    Select an answer first
  4. 9application · medium

    A nonprofit organization uses Azure Logic Apps to process donation forms submitted via a website. The Logic App is triggered by an HTTP request, validates the form data, and then inserts a record into a SQL database. The organization wants to add a step to send a confirmation email to the donor. What should you do?

    Select an answer first
  5. 10application · medium

    A telecommunications company needs to analyze call detail records (CDRs) stored in Azure Data Lake Storage. The data volume is large (petabytes) and the analysis requires complex transformations using Spark. The company also wants to run ad-hoc SQL queries on the same data. What should you use?

    Select an answer first
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