Why is processing unstructured data often more complex than processing structured data?

Because unstructured data is always in a proprietary format that is difficult to access.

Because unstructured data cannot be stored in any database.

Because unstructured data is always larger in size than structured data.

Because unstructured data requires specialized tools to interpret its content, such as natural language processing or computer vision.

Which of the following is an example of semi-structured data?

A relational database table containing employee records.

A video recording of a security camera.

A collection of scanned documents stored as PDF files.

A JSON file containing sensor readings, where some readings have additional metadata.

A legal firm needs to store thousands of scanned contracts as PDF files. They also need to search for specific clauses within these contracts. What is the most appropriate way to make this unstructured data searchable?

Use Azure Cognitive Search to index the text extracted from the PDFs.

Convert the PDFs to JSON and store them in a NoSQL database.

Store the PDFs in a relational database and use SQL LIKE queries.

Rename the PDFs with descriptive filenames and use file system search.

A company stores emails, PDF documents, and images for archival purposes. What type of data are these?

Structured data, because they are stored in a database.

Structured data, because they are stored in files.

Semi-structured data, because they have some metadata.

Unstructured data, because they do not have a predefined data model.

A hospital stores X-ray images, doctor notes, and lab reports. The hospital wants to enable radiologists to search for images by patient ID and study date, and also search the text of the doctor notes. What is the most appropriate storage and indexing strategy?

Store all data in a single SQL table with a column for the image binary and a column for the notes

Store all data as JSON documents in Azure Cosmos DB

Store images and notes as unstructured blobs without any metadata

Store images in Azure Blob Storage with metadata, and store notes in a searchable text index

Microsoft Certified:Azure Data Fundamentals

Domain 1Objective 1

Describe Ways to Represent Data DP-900 Practice Questions (Page 5)

Part of the Describe core data concepts domain, which accounts for 25–30% of the DP-900 exam. Microsoft does not publish an official question count, but from its 45-minute exam (~20–30 total, ~5–9 in this domain), expect 1–2 from this objective — we provide 48 practice questions to prepare you well beyond it. (estimate)

48questions here

10free pages

9concepts

25–30%of the exam

Questions 21–25

21foundation · easy
Why is processing unstructured data often more complex than processing structured data?
Select an answer first
22foundation · easy
Which of the following is an example of semi-structured data?
Select an answer first
23application · medium
A legal firm needs to store thousands of scanned contracts as PDF files. They also need to search for specific clauses within these contracts. What is the most appropriate way to make this unstructured data searchable?
Select an answer first
24foundation · easy
A company stores emails, PDF documents, and images for archival purposes. What type of data are these?
Select an answer first
25application · medium
A hospital stores X-ray images, doctor notes, and lab reports. The hospital wants to enable radiologists to search for images by patient ID and study date, and also search the text of the doctor notes. What is the most appropriate storage and indexing strategy?
Select an answer first

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