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Schema Certification Quiz for SEOs

Test your SEO schema knowledge with Milestone's Level 1 Schema Certification. Find out how well you understand, entities, schemas, schema markup workflow, and how it can impact your rich results in the BERT era.
Before you take the quiz, you should review the following information:

Google Entity SEO for Beginners

What is Schema? Beginner‘s Guide to Structured Data

About Schema.org

How schemas will impact the visibility of your website content following the effect of Google's BERT update

Milestone Schema FAQs

This is a more advanced article that was written many years ago, but it is still one of the best ever written on the topic.

Future SEO: Understanding Entity Search

* 1. What is an entity in SEO?

A thing
A site
A markup
An internal link

* 2. Which Google algorithm update is most closely associated with entities?

Panda
Penguin
Hummingbird
Pidgeon

* 3. What is structured data?

Code that improves run time
Code that supplements content with context
Code that improves the way the CSS loads
Code that is more secure

* 4. Why use structured data?

To improve machine ability to understand content
To improve human ability to understand content
To improve the page authority
To speed up the page

* 5. What is the connection between entities and schemas?

Schemas are the vocabulary of entities
Entities are the vocabulary of schemas
Schemas are made up of triplets of information
Google loads schemas into the knowledge base

* 6. What are the differences between schema type and schema properties?

Properties define the code
Schemas are bidirectional
Properties are used when compiling schema code
Properties describe types as values

* 7. What is a schema extension in subdomains according to schema.org?

Sample code for a vertical topic from the community
Code that allows you to append more properties per schema
RDF version of schema
Code that allows you to extend the code to an external jar file

* 8. As of winter 2020, about how many schema types are there?

640
740
840
1040

* 9. Which search engine was not involved in founding schema.org?

Google
Microsoft
Yahoo
Yandex
Baidu

* 10. What is the url and organization that hosts the approved schema sets?

Schema.org
Schemas.com
Schemas.org
Schema.net

* 11. What are the primary languages used for schema markup? Pick 3

RDFa
Microdata
JSON-LD
HTML 5

* 12. Which schema markup language does Google prefer?

RDFa
Microdata
JSON-LD
HTML 5

* 13. Which markup language uses @ marks in front of commands?

RDFa
Microdata
JSON-LD
HTML 5

* 14. What is semantic search?

Based on meaning instead of keywords
Uses grammar to define logic
Based on binary code
Uses strings not things

* 15. What is the max number of schemas per web page?

One
Three
Seven
No Limit

* 16. How can schema be deployed? Pick 3

Inline
Injected
Hardcoded
Framed

* 17. What is it called when you connect schema types in the markup code?

Tiering
Nesting
Embedding
Cascading

* 18. What is usually used to inject schemas?

Python
Heat map doorway
CSS
Tag Manager

* 19. Does schema slow down page load time?

Yes, a lot
Yes, a little
Yes, it depends
No

* 20. Which is not a schema type?

Reviews
Product
Price
Thing

* 21. Which term is more closely associated with schemas?

Disambiguation
Clarification
Flowchart
Matrix pairs

* 22. Why are schemas associated with machine learning?

They provide machines context they need to understand content
Because they are digital versions of traditional elements
Because they are created by machines and used by humans
Free association of digital information is a more robust solution

* 23. Which update is more closely associated with schemas and entities?

Panda
Penguin
BERT
Mobile-friendly

* 24. What does not provide feedback on schema errors? Pick 2

GSC
GA
GTM
Rich Results Tool
Google Page Speed Test

Please fill below information to get the Answers

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Your privacy and security are a top priority. We will not distribute or sell your personal information to any third parties. Please visit our privacy policy page to contact us to review or delete data collected.

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