Hello Team,
Welcome to the Adobe Analytics Community Mentorship Program 2024! This is the featured Community Discussion thread for your Adobe Analytics Community Mentor, Arun (aka @PratheepArunRaj), who will be here to guide and support you and your peers with your Adobe Analytics questions as you prepare for the Adobe Analytics Architect Master Certification (Exam ID: AD0-E207), through to the end of the program.
A little bit about your Adobe Analytics Community Mentor, Arun:
Enterprise Architect (NextRow Digital) with 12+ years of experience in MIS, Analytics, Personalization and Customer Data Platform | Brand Ambassador, User Group Leader, Community Advisor in Adobe | Founder and Author of Terryn Winter Analytics (Blog Portal) | Holder of 8 Adobe Certifications across Adobe Analytics, Adobe Target, and Adobe Audience Manager.
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Hello @ganesanlakshmi, MukeshAEM, Ankit_Chaudhary, mahimitra98, Mahesh_Srini, YasaswiSarvabhotla, SrividyaVenkat, Sathya_Murugaiyan,
Nice to meet you all!
Let's stay connected for the next few weeks to achieve our short-term goal of certification.
Before I start posting the first tool kit, let's complete the following by Wednesday, July 31, 2024.
First, log in to the Adobe Credential Management System with your Adobe ID.
Then, go to the Adobe Certification Exam Prep Portal to find your practice test.
So, this will go in parallel while we review and start our tool kit. All the best!
Thank You, Pratheep Arun Raj B (Arun) | NextRow Digital | Terryn Winter Analytics
Hello All,
A global e-commerce company wants to use Adobe Analytics to better understand user behavior on their website. The marketing team for the company would like to measure the influence of internal campaigns on revenue.
The Analytics Architect needs to evaluate and analyze the business requirements, along with the Adobe Analytics features, to formulate a strategy to configure eVars to achieve the desired measurement goals.
What are the appropriate settings for the eVars, including the Name, Type, Allocation, Expiration, and Merchandising options?
eVar5 = InternalCampaigns, Type: Counter, Allocation: Original Value, Expiration: Month,
Merchandising: Not Applicable
eVar5 = InternalCampaigns, Type: Text String, Allocation: Most Recent, Expiration: Week,
Merchandising: Not Applicable
out of these 2 I have opted for first one. But answer is second one. My argument is allocation is based on business use case right ? or most recent is recommended if there's nothing mentioned. And will Expiration also plays tole in selection : if its month or week ( nothing mentioned in question).
Thanks !!!
Hello @MahimitraCh1 ,
Yes, Allocation and Expiration are based on the business requirements.
However, the first option has the Type = Counter and the option is not for understanding the influence of internal campaigns on revenue. It has to be Type = Text String so that we can capture the campaign name.
In certification exams, if we are not clear with which option to select, then you start excluding the incorrect ones. Simple, but a great strategy to follow.
Thank You, Pratheep Arun Raj B (Arun) | NextRow Digital | Terryn Winter Analytics
Hi Arun,
Refer the image attached below:
I answered the below question correctly by elimination method. But, I am confused on why the processing rule set for global report suite will map the data to 'unspecified' and not to the individual report suite directly?
Though, we create the processing rule intentionally that it should apply to all our report suites directly and the data should be perfect.
Thanks in Advance!
Regards,
Srividya.V
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I think that's not how you look at it. They have 3 report suites Global, website and App. All the settings are independent for each other including processing rules.
Option one : You only set processing rules for global RS( not web and mobile RS) where eVar 10 is always set to that context var ( property name.) And this don't inherit to other report suites right ( it's not VRS) ?
So evar 10 might be coming unspecified for mobile property.
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Hello @SrividyaVenkat ,
Your question is valid; if you ask me, I would say that it was an incomplete question. I would love not to see these unbaked questions appear in the examination. However, sometimes you cannot avoid situations and thus you need to work on ELIMINATION METHOD.
Thank You, Pratheep Arun Raj B (Arun) | NextRow Digital | Terryn Winter Analytics
Hello @ganesanlakshmi, MukeshAEM, Ankit_Chaudhary, mahimitra98, Mahesh_Srini, YasaswiSarvabhotla, SrividyaVenkat, Sathya_Murugaiyan,
Here you go with the Exam Preparation Guide for an Architect.
Login to this link and start working on the modules one by one for the next few weeks. I will post QUIZ every weekend to ensure that your learning is converted to the outcomes.
For an architect, we will be focusing on the below 3 sections:
Section 1: Discovery (18%)
Section 2: Solution Design (54%)
Section 3: Post Implementation (28%)
All the very best. Please initiate the conversations for the topics that require assistance.
Thank You, Pratheep Arun Raj B (Arun) | NextRow Digital | Terryn Winter Analytics
@PratheepArunRaj Any weekly quizes planned for this Adobe Analytics Architect certification group.
Hello @ganesanlakshmi, MukeshAEM, Ankit_Chaudhary, mahimitra98, Mahesh_Srini, YasaswiSarvabhotla, SrividyaVenkat, Sathya_Murugaiyan,
Here you go with the QUIZ for Module 01: Discovery (18%).
1. The business wants to capture the campaign ID (in s.campaign) that was sent as a URL query string parameter ('cid') in Adobe Analytics. What are the different ways to capture it in real-time? Select all applicable options and explain to me in a sentence why you chose the option.
2. What are the advantages of using a Prop over an eVar. Select all applicable options.
3. You have been asked to write technical specifications to add tracking to the internal search functionality. Requirement is understand the below:
Select all applicable options and explain to me in a sentence why you chose the option.
Thank You, Pratheep Arun Raj B (Arun) | NextRow Digital | Terryn Winter Analytics
1) 1 - applicable and most common approach in launch, we can capture cid directly in data element and then send in any page load rule.
3 - this is applicable as it can be done directly in adobe analytics without dev support .
2) 1,2 are applicable. Props are processed real time.
Props have patting enabled by default, so no need to do anything more which is not in case of eVar's.
3). 2 - Applicable. Because eVar with conversion event expiry solves first requirement. and counter evar for number of searches before conversion. events. are straight forward.
4- Applicable - similar to above but using prop for number of search results instead of event allows us to drill down further using count. for example we can bucket them like count (1-50,50-100 and so on ) .
Hi Arun,
1st Question: For the first one my options would be 1 & 3 (i.e Data element & Processing rule)
Why it is right:
1: Using the Core Extension in Adobe Tags (Launch) we can create a Data Element that can directly capture utm query string into a separate eVar . This method is more simple to implement overall, but requires the use of extra eVars.
3: Processing rules in Adobe Analytics allow you to set up logic that captures and processes data based on conditions like query string parameters. This can be done without needing to modify the site code, making it a quick and effective solution.
2nd Question: The correct answers are 1 & 2.
Why 1 & 2 is correct?
1: Props are processed almost immediately, allowing their data to be available in real-time reports. eVars, on the other hand, are processed after a delay, typically around 30 minutes, so they do not appear in real-time reports.
2: Props support pathing, which allows you to see the sequence of values that a user traverses. Enabling pathing on a prop automatically provides Entry and Exit metrics. For eVars, pathing is not as straightforward and would require segments or custom configurations to achieve similar insights.
3rd Question: The correct option is 1.
Why 1 is right?
From my perspective felt these could be appropriate options.
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