DP-900 · Practice set 1 of 4
Data Representation Types: 10 practice questions
10 free DP-900 practice questions on Data Representation Types, with an explanation for every answer. Untimed. The full mock exam and the timed version are in the app.
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Question 1 of 10
What must be true of every instance in a structured dataset?
- AFiles have no specific structure shared across their contents.
- BEvery instance follows the same fixed schema of fields or properties.
- CEach instance freely changes both its organization and its properties.
- DInstances retain some organization but can carry different fields.
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A fixed schema is the deciding feature of structured data; permitted field variation indicates semi-structured data, while no specific structure indicates unstructured data.
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Question 2 of 10
Customer records share an overall organization, but some have multiple email addresses and others have none. Which representation type fits?
- AStructured data with one fixed schema and identical properties in every instance
- BSemi-structured data with permitted instance-level variation
- CUnstructured data without a recurring organization
- DStructured tabular data with identical fields in every row
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Semi-structured data preserves recognizable organization while allowing instance-level differences, unlike a fixed structured schema or content with no specific structure.
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Question 3 of 10
Which representation type can include native documents, images, audio, video, and binary files?
- AUnstructured data with no specific shared structure
- BStructured tabular data with rows and attribute columns
- CStructured data with a fixed schema across instances
- DSemi-structured data with varying fields inside recurring organization
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The absence of a specific structure distinguishes unstructured data from fixed-schema structured data and variably organized semi-structured data.
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Question 4 of 10
In the most common tabular schema for structured data, what do rows and columns represent?
- ARows represent schemas, and columns represent unrelated binary files.
- BRows represent entity instances, and columns represent entity attributes.
- CRows represent key values, and columns represent complete entity tables.
- DRows represent attributes, and columns represent separate data stores for each entity.
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A table organizes each entity instance as a row and each characteristic of that entity as a column.
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Question 5 of 10
Two JSON customer documents contain address and contact sections, but their specific fields differ. How should this representation be classified?
- AStructured, because JSON requires identical properties in every document
- BSemi-structured, because it has organization while allowing fields to vary
- CUnstructured, because JSON documents cannot contain recognizable organization
- DStructured, because differing fields satisfy a single fixed tabular schema
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Shared address and contact organization combined with different specific fields is the semi-structured pattern illustrated by JSON customer documents.
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Question 6 of 10
What distinguishes native media and binary documents from a fixed-schema customer table?
- AThe files use tabular rows, while the table stores only audio and video
- BThe files require identical attribute columns, while table instances can omit any field
- CThe files can lack a specific structure, while table instances share fixed fields
- DThe files share a fixed schema, while the table has no recurring organization
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Native media and binary documents can have no specific structure, whereas a structured table applies the same fields or properties to every instance.
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Question 7 of 10
Which change introduces the defining semi-structured feature into records that previously shared one fixed schema?
- AAllowing individual records to omit or repeat selected fields while retaining organization
- BReplacing the records with native media files that have no recurring organization
- CKeeping identical fields for every record and continuing to use the same schema
- DPlacing every entity instance in a row with attributes in fixed columns
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The decisive change is controlled variation between organized instances; retaining identical fields or fixed columns preserves structured data.
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Question 8 of 10
A customer export preserves address and contact sections. Some addresses include a unit field, and contact collections contain either one email or both phone and email entries. Which classification fits the records?
- AStructured, because the shared sections guarantee identical fields in every record
- BUnstructured, because any optional field removes all organization from the records
- CSemi-structured, because organized records permit fields and value counts to vary
- DStructured, because contact collections require one fixed tabular schema
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The records retain recognizable sections, but optional fields and different contact counts create instance-level variation characteristic of semi-structured data.
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Question 9 of 10
A sales system requires every product instance to have the same properties. It places each product in one row, each attribute in a column, and uses key values to reference related tables. Which classification fits?
- AUnstructured, because key references prevent the data from having a specific structure
- BStructured, because all instances share a fixed tabular schema
- CSemi-structured, because columns allow attributes to appear or disappear by row
- DSemi-structured, because related tables permit each product to use different fields
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Identical properties, entity rows, attribute columns, and relational key references all support the fixed-schema structured classification.
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Question 10 of 10
An archive must retain native images, audio recordings, videos, and application-specific binary documents. The files do not share a schema of recurring fields or properties. Which classification fits the archived content?
- AStructured, because each document supplies the same entity attributes
- BUnstructured, because the native files have no shared specific structure
- CSemi-structured, because all media files contain varying address sections
- DStructured, because every binary file follows one common table schema
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Native documents, images, audio, video, and binary files with no specific shared structure match the unstructured category.
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