I have complete Analytics and Data Mastery course and certified as Analytics and Data Specialist this march by leverage on this Analytics and Data Mastery Exam Guide. There is 60 exam question for this certification and you require completing 75% to pass the exam.

Analytics and Data Mastery

Analytics And Data Mastery Exam Guide

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1. What can real time data tell you?
Who is accessing your site and why
Which campaign is working
Nothing useful
Data trends

2. What type of companies can benefit from dedicated analysis?
Small businesses
Large companies
All of these
Ecommerce Companies

3. What is analysis?
Your approach to data
A boring process that doesn’t help grow businesses
Data with a plan
The act of reporting data

4. When at the ‘Asking the Right Questions’ step, what are you doing?
Creating scope
Picking a data source
Compiling data
Applying data

5. When at the ‘Know how it applies’ step, what are you doing?
Picking a data source
Applying data
Creating scope
Compiling data

6. When at the ‘Know where to look’ step, what are you doing?
Compiling data
Creating scope
Picking a data source
Applying data

7. What are the only three ways to grow a business?
Increase New sales, Increase Sale Amount, & Increase Sale Frequency
Increase Traffic, Increase Conversions, Get More Referrals
Increase all TOFU metrics, Ignore MOFU metrics, Increase Sale Frequency
Get More Social Shares, Maintain Conversions, Increase Sale Frequency

8. [True or False] Averages give you a specific interpretation of your data set.
True
False

9. [True or False] In general you will see more _______________ than _____________.
Conversions, Bounces
Bounces, Sessions
Sessions, Users
Users, Sessions

10. What is a filter in Google Analytics?
A setting that auto cleans your data.
A setting that allows you to add, remove, or modify your data during processing before it’s displayed in your reports.
A setting that allows you to evaluate your data during processing before it’s displayed in your reports.
A setting that allows you to add, remove, or modify your data after processing after it’s displayed in your reports.

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11. What is a landing page in Google Analytics
The first page a visitor views during a session.
The last page a visitor views during a session.
An offer page used in conjunction with paid advertisements to increase conversions.
A squeeze page.

12. Why are events important to use with Google Analytics?
You get to see page level activity.
You can track more than just page load.
It will create an adjusted bounce rate that provides more accuracy.
All of these

13. When aggregating data what must you avoid?
Picking the correct traffic source
Inputing data into your dashboard
Pulling raw data
Analyzing the numbers while aggregating

14. [True or False] If you see a trend developing you should continue pulling numbers.
True
False

15. What is Twymin’s Law?
Any figure that looks interesting or different is usually right.
Any figure that looks interesting or different is usually wrong.
Any figure that is consistent with previous data is always right.
Any figure that looks negative is usually wrong.

16. What is the figure you need to identify outliers?
The average order value
The baseline
The cost per lead
The revenue per visitor

17. What is an outlier?
A data point in a set of results that is much bigger or smaller than the next nearest data point.
A data point in a set of results that is close to the next nearest data point.
A useful piece of data.
A data point in a set of results that is the same as the next data point.

18. [True or False] You should only explore data trends when they are negative to your business.
False
True

19. What does web data tell you [Pick the best answer]?
Why visitors are buying particular products
Why visitors are interacting with your web property
How visitors interact with your web property
Your visitors buying habits

20. What type of data tells you WHY a visitor/customer acts a particular way?
Ecommerce data
Retargeting list data
Web data
Qualitative data

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21. If you are on your company’s lead generation team, what should be your primary metric?
Pages per session
Sales
Average time on site
Leads generated

22. If you are optimizing for ecommerce, what should be your primary metric?
Revenue
Assisted conversions
Buyer path
Leads generated

23. If your site both generates leads & sells products, what should be your primary metric?
Sales
No one knows!
Leads generated
It depends on your goal priority

24. Why shouldn’t you gather web data from your ecommerce data set?
Because ecommerce providers don’t track web interactions as robustly as your web analytics suite.
Because ecommerce providers don’t track qualitative data points.
You don’t need to track web data if you’re focused on ecommerce metrics.
You can!

25. Why is it important to measure new visitors?
New visitors are the least skeptical visitors and are the easiest to convert.
New visitors are your brand evangelists so you want to make sure you get plenty.
You don’t need to pay attention to new visitors, the real money is in return visitors.
You want to make sure you are bringing in enough new attention to fill the latter part of your funnel.

26. Why is it important to monitor TOFU retargeting segments (pixels)?
To build up a marketable list that will move people past the ‘Awareness’ stage
To make more sales.
You don’t need to monitor TOFU retargeting segments.
To build up a marketable list that move people directly to the ‘Conversion’ stage

27. Which is a more important metric to look at on a BOFU checkout page?
Time on site
Exit rate
Bounce rate
Sessions

28. Which metric comes from this calculation: Total Revenue/Number of Sessions
Average order value
Revenue per visitor
Revenue per visit
Revenue per unit

29. Why must you dig into user segments?
To find out which content worked (or didn’t work) for different demographics
To get a more detailed picture of your data
All of these
To find out which offers worked (or didn’t work) for different traffic sources

30. [True or False] You can get detailed campaign data in Google Analytics without UTM parameters.
False
True

>>Look for an answer?<<

31. What are the names of the 4 sections of the analyst’s funnel?
Lead Magnet, Tripwire, Core Offer, Upsell
Top of Funnel, Middle of Funnel, Bottom of Funnel, Retention & Monetization
Visitor Metrics, Lead Metrics, Buyer Metrics, Membership Metrics
Branding, Content, Purchase, Upsell

32. Which business type should spend the least amount of time on data collection
Large eCommerce Business
Medium-sized local Brick and Mortar
Small Startup
Medium-sized Digital Business

33. What is the bridge between data and action?
Conjecture
Analysis
Asking Questions
Putting the data in a dashboard

34. Which is not a part of the analytical decision making process?
Establish Baselines
Review Drill Down Metrics
Apply Insights
Form a Hypothesis

35. What does analysis allow you to do with your data?
Transforms data into actionable insights
Eliminates the need for the funnel structure for data
Highlight underperforming areas
Simplifies the data collection process

36. What is the formula for Average Order Value?
Total Number of Sales / Total Number of Page Visits
Total Revenue / Total Number of Unique Visits
Total Number of Sales / Total Number of Page Visits
Total Revenue / Total Number of Orders

37. What is the name for this formula: Total Number of Sales / Total Number of Page Visits?
Refund Rate
Revenue per Visitor
Page Conversion Rate
Add-to-Cart Rate

38. What is the formula for paid traffic ROI?
(Paid Traffic Revenue – Paid Traffic Spend) / Paid Traffic Spend
Paid Traffic Revenue / Paid Traffic Click
Paid Traffic Revenue / Paid Traffic Spend
Paid Traffic Revenue – Paid Traffic Spend

39. Why do we use retargeting lists in data collection?
Makes segmenting your audience fast and easy
All of These
Simplifies tracking your site visitors
Helps you identify opportunity areas in your funnel

40. How can the New Visitors by Content Metric be used?
Determine what content is converting visitors into leads
Identify what topics are effectively driving new visitors
Identify how many new visitors your site is getting
None of the above

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41. Which of these is not a goal at the Middle of the Funnel?
Build social media presence
Bring new visitors to your site
Drive visitors back to your website
Encourage visitors to evaluate your offers

42. What Middle of the Funnel metric matters for businesses of all sizes?
Blog Comment Count
Membership Retention Report
Leads Generated
Social Shares

43. Which metric tells you how well you are reengaging and segmenting your email list?
Promotional Email Metrics
Reputation Score
Content Email Metrics
Refund Report

44. How is the Qualitative Trend Report data collected?
Pulled by analyzing frequently asked questions across social platforms
Based on how popular different blog posts are on your website
Pulled from Google Analytics
Based on which lead magnets are most effective at creating new customers

45. Which of these is not a goal in the Retention & Monetization funnel stage?
Convert leads into customers
Maximize membership value
Reduce customer churn
Turn buyers into multi-buyers

46. The Four Lenses in the Analyst’s Toolkit are Contextual, External, Internal, and Historical
False
True

47. What does the Contextual Lens of the Analytical Toolkit Focus on?
The accuracy data that is being analyzed
What has happened in the past that informs the current situation
Changes in technology, competitors, or referring sources
Changes to company strategies and offers

48. How can you clean your data?
Break your audience into smaller segments for analysis
None of these
Only look at metrics completely independent of one other
Delete numbers that disagree with what you expected

49. Which is not a step in the Analytical Decision Making process?
Form a Hypothesis
Eliminate Biases
Review Key Metrics
Review Drill Down Metrics

50. If you prove your hypothesis correct you should always stop digging into your data.
True
False

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51. Why do we use the Analytical Decision Making process when analyzing our businesses?
Because it helps us break our business metrics into organized chunks
Because we can never be wrong when using it
You do not need to use the Analytical Decision Making process
To prevent data overload

52. What is not a reason that goals are important for proactive analysis?
Goals allow you to reverse engineer your needs at each funnel stage
Goals help you identify your metric performance baselines
These are all reasons that goals are important
Goals give you a measure of success

53. How can you become a proactive analyst?
Track & optimize throughout funnel
Start with your goals, then reverse engineer what you need to accomplish at each stage
Understand that each funnel stage is connected
All of these

54. Proactive analyst’s focus on how each individual funnel stage perform independent of all others.
True
False

55. What analysis will have the highest impact for a small business?
Cohort Analysis
Bounce Rate analysis
Customer Lifetime Value
Evaluating site traffic sources

56. What are the only three ways to grow a business?
Get More Social Shares, Maintain Conversions, Increase Sale Frequency
Increase all TOFU metrics, Ignore MOFU metrics, Increase Sale Frequency
Increase Traffic, Increase Conversions, Get More Referrals
Increase New Sales, Increase Sale Amount, & Increase Sale Frequency

57. When aggregating data what must you avoid?
Inputting data into your dashboard
Analyzing the numbers while aggregating
Pulling raw data
Picking the correct traffic source

58. Why is it important to measure new visitors?
New visitors are the least skeptical visitors and are the easiest to convert.
You don’t need to pay attention to new visitors; the real money is in return visitors.
You want to make sure you are bringing in enough new attention to fill the latter part of your funnel.
New visitors are your brand evangelists so you want to make sure you get plenty.

59. What does the Contextual Lens of the Analytical Toolkit Focus on?
Changes to company strategies and offers
What has happened in the past that informs the current situation?
The accuracy data that is being analyzed
Changes in technology, competitors, or referring sources

60. Proactive analyst’s focus on how each individual funnel stage performs independent of all others.
False
True

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I completed my exam at 46 of 60 questions are correct with 76%.

Analytics & Data Specialist Certification

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Apart from Analytics and Data Mastery course, DigitalMarketer also offer a list of courses below, you might also interest to take this course and get the study guide.

Analytics & Data Mastery Study Guide.
Community Management Mastery Study Guide.
Content Marketing Mastery Study Guide.
Direct-Response Copywriting Mastery Study Guide.
Customer Acquisition Mastery Study Guide.
Customer Value Optimization Mastery Study Guide.
Ecommerce Marketing Mastery Study Guide
Email Marketing Mastery Study Guide
Optimization & Testing Mastery Study Guide
Search Marketing Mastery Study Guide.
Social & Community Mastery Study Guide. (Delist Course, you can still get the link from this page)
Social Media Mastery Study Guide.

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