AD0-E600 Dumps - Grab Out For [NEW-2023] Adobe Exam
AD0-E600 Exam Dumps PDF Guaranteed Success with Accurate & Updated Questions
Adobe AD0-E600 exam is intended for individuals who have experience working with Adobe's marketing and data management solutions. This includes developers, technical architects, and IT professionals who are responsible for implementing and managing the AEP. Additionally, marketing professionals who want to gain a deeper understanding of the technical aspects of the platform can benefit from taking AD0-E600 exam. By earning this certification, individuals can demonstrate their expertise in using the AEP and enhance their career prospects.
Preparing for the Adobe AD0-E600 exam requires a solid understanding of the Adobe Experience Platform and its technical foundations. Adobe offers a range of training resources and study materials to help candidates prepare for AD0-E600 exam. These resources include self-paced online courses, instructor-led training, and study guides. In addition, Adobe recommends that candidates have hands-on experience working with the Adobe Experience Platform to gain practical knowledge and skills. By passing the AD0-E600 exam, you can differentiate yourself in the job market and demonstrate your expertise in using the Adobe Experience Platform to deliver exceptional customer experiences.
NEW QUESTION # 30
A data architect responsible for maintaining existing schemas is notified that a previously defined mandatory field is no longer available due to some changes in the inbound data. The data architect confirms the existing schema has been saved and is currently being leveraged in data ingestion.
Which option does the data architect have?
- A. Assign the field a new data type
- B. Remove the previously defined field
- C. Make the current mandatory field optional
- D. Rename the existing field
Answer: B
NEW QUESTION # 31
An AEP expert has been tasked with a last-minute request to send a campaign. The AEP expert needs to upload a CSV file with the customer list that will be affected through the campaign, create the segments based on a briefing, and share those segments with Adobe Campaign and Facebook Custom Audiences. The brief also includes the segment volumes.
Before sharing the segments, the AEP expert needs to make sure that the segment volumes match the briefing.
What should the AEP do right after creating the segments to get the volumes?
- A. Create an AEP dashboard with an Audience Size widget and select the corresponding segments
- B. Use the Profiles over time graph that appears on the segment details
- C. Run a Segment Job through the API for the segments created
- D. Use the qualified profiles value that appears in the Segment builder
Answer: B
Explanation:
Explanation
To get the segment volumes in Adobe Experience Platform, the AEP expert can use the Profiles over time graph that appears on the segment details. The Profiles over time graph shows the number of profiles that match the segment criteria over time. The AEP expert can use this graph to verify that the segment volumes match the briefing.
NEW QUESTION # 32
A marketer wants to create a segment based on profiles that have these 7 attributes: Loyaltyld. loyalty Level.
Location. Age. MantalStatus. Email, and Phone.
The marketer wants the segment to qualify all profiles that have these attributes: Loyaltylevel and Age and disqualify profiles that have either of these attributes: MantalStatus and Location How can the segment builder Ul be used to buildthis segment?
- A. Drag and drop the LoyaltyLevel and Age attributes Into an "Include any of" container Then, drag and drop the MantalStatus and Location attributes into an "Exclude all of container
- B. Drag and drop the LoyaltyLevel and Age attributes into an "Include all or container Then, drag and drop the MantalStatus and Location attributes into an "Exclude all of container
- C. Drag and drop the LoyaltyLevel and Age attributes into an "Include anyof" container Then, drag and drop the MantalStatus and Location attributes into an "Exclude all of container
- D. Drag and drop theLoyaltyLevel and Age attributes into an "Include all of" container Then, drag and drop the MantalStatus and Location attributes into an "Exclude any of container
Answer: D
NEW QUESTION # 33
A data architect creates two XDM schemas: Schema A and Schema B.
What are the two requirements for defining a schema relationship so that Schema A references Schema B for use in segmentation? (Choose two.)
- A. Schema A and Schema B must each have datasets associated with them.
- B. Schema A and Schema 6 must each be enabled for Real-time Customer Profile.
- C. Schema A must belong to the same schema class as Schema B.
- D. Both schemas should have the same fields marked as identities.
- E. Schema A and Schema B must each have a primary identity.
Answer: A,E
Explanation:
Explanation
A primary identity is a field that uniquely identifies a profile in a dataset. It is used to merge data from different sources into a single profile. A dataset is a collection of data that is stored in Adobe Experience Platform. It is used to store data from a single source or system.
NEW QUESTION # 34
A marketer wants 10 create a segment that qualities profiles from all datasets that are enabled for profile. The use case for the segment is for activation to advertising destinations.
Based on the options for ID stitching and merge method respectively, which type of merge policy is appropriate for this use case?
- A. ID stitching: Private graph
Merge method: Dataset precedence - B. ID stitching: None
Merge method: Dataset precedence - C. ID stitching: None
Merge method: Timestamp ordered - D. ID stitching: Private graph
Merge method: Timestamp ordered
Answer: B
NEW QUESTION # 35
During discovery, a business user explains that customer data from field-sales reps is stored in a third-party CRM system.
Based on the three methods of ingesting data into Adobe Experience Platform, which method should be used to set up a schedule-based ingestion run?
- A. File automation
- B. Batch API
- C. Streaming API
- D. Sources
Answer: B
NEW QUESTION # 36
A B2B business (the client) is migrating its data warehouse (DWH) solution to AEP. Currently, they are using what they call Recipient ID as the main identifier to recognize client employees. That Recipient 10 is generated inside the DWH. That solution will not be available once AEP is live, so the solution architect needs to consider potential alternatives.
After working with the client lead and a data engineer, the solution architect identifies that a combination of Company ID and Hashed Employee Email would be a good replacement for the Recipient ID to make it more unique.
How can the solution architect generate that identity within AEP?
- A. The Company ID (non-people identifier) must be set up as a primary ID. The Hashed Employee Email as a secondary ID and AEP will automatically reconcile them.
- B. The Hashed Employee Email must be set up as a primary ID. The Company ID (non-people identifier) as a secondary ID and AEP will automatically reconcile them.
- C. The Company ID and Hashed Employee Email must be combined outside of AEP and passed as a unique primary identity.
- D. The Company ID and Hashed Employee Email must be combined in AEP data prep and passed as a unique primary identity.
Answer: C
Explanation:
Explanation
https://experienceleague.adobe.com/docs/experience-platform/identity/home.html?lang=en
NEW QUESTION # 37
A data engineer is ingesting time-series data in CSV format from a CRM system. The source data contains a
"subscription" field that contains what level of subscription the customer has purchased.
The data is ingested into a target field called "subscriptionLevel". which is an enum field that accepts the following values: "Lite*. "Standard", and "Pro''.
The data engineer knows that the CSV files contain some rows that do not conform to the above enum. Instead of rejecting those rows, the data engineer wants to transform non-conforming fields to "Standard".
Which mapping function(s) will accomplish this?
- A. iif(subscription.noiEquals(*Lite" || "Standard" || "Pro"), subscription, subscription, replacestrf
"Standard")) - B. iif(subscription.equals("Lite") || subscription.equals("Standard") || subscriptionequalsfPro").
subscription. "Standard") - C. iif(subscription.equals("Lite") &&subscriptiorvequ3ls("Standard") && sub$ctiption.eqoals("Pro").
subscription. el$e("5tandard")) - D. iif(subscription.notEquals("Lite") || subscription.notEqualsl "Standard") || subscription.notEquatsCPro').
'Standard', subscription)
Answer: D
Explanation:
Explanation
you can use Data Prep functions to compute and calculate values based on what is entered in source fields. The iif function returns one value if a condition is true and another value if it is false.
https://experienceleague.adobe.com/docs/experience-platform/data-prep/functions.html?lang=en
NEW QUESTION # 38
When sending data through the RESTful API. how can data engineers make sure the payload being sent is formatted property in real time?
- A. Leveraging asynchronous validation, data engineers can review error messages for records that fail validation.
- B. All data is ingested and query services reporting identify any records that do not pass custom validation rules.
- C. As long as the data matches the pre-defined SXM schema, records in the payload pass
- D. Leveraging synchronous validation, data engineers can review error messages for records that fail validation.
Answer: C
NEW QUESTION # 39
A data engineer ingests 1000 records that contain various different identities. Each record has at least the primary identity.
The data engineer verifies that the records have been ingested into Data Lake and profile. When clicking on one of the identity namespaces in the identity tab the data engineer sees 100 records under "Records skipped".
What is the possible cause of the skipped records?
- A. Identity namespace is not compatible with identity graph.
- B. Dataset and schema are not enabled for identity service.
- C. Identity records failed XDM validation upon ingestion.
- D. Identity service ignores records with only one identity.
Answer: C
Explanation:
Explanation
The possible cause of the skipped records is that the identity records failed XDM validation upon ingestion.
https://experienceleague.adobe.com/docs/experience-platform/landing/troubleshooting.html?lang=en
NEW QUESTION # 40
A marketer recently set up an Amazon S3 cloud storage destination. The last successful flow for the destination exported 12 million records. in the Amazon S3 bucket, how will the export be presented to the marketer?
- A. 1 CSV file in the format of: filename.csv (containing 12 million records)
- B. 2 CSV files in the format of filename.csv (containing 6 million records) filename_2.csv (containing 6 million records)
- C. 3 CSV files in the format of: filename.csv {containing 5 million records) filename_2.c$v (containing 5 million records) ftlename_3.csv (containing 2 million records)
- D. 3 JSON files in the format of: filenamejson (containing 5 million records) filename_2json (containing 5 million records) filename.3json (containing 2 million records)
Answer: B
NEW QUESTION # 41
A data engineer is ingesting the transactional information from an ecommerce platform through a daily feed.
In AEP, one Experience Event-based schema will collect the purchase events from this feed.
The eventType field of the schema must be populated with "commerce.purchases' if in a CSV record in which the column 'pure ha sesf arid ate' and 'purchaseenddate" happen on the same day, If the "purchasee/irfdate" is set to a later date, the eventType should be *commerce._orgtenant.cancer.
Both dates follow the same format "yyyy-MM-dd'T'HH:mm:ss.SSS'Z~. and the "purchaseenddate' is always populated.
How should the data engineer create a Calculated Field that can be used to populate the eventType according to the required logic?
- A.
- B.
- C.
- D.
Answer: A
NEW QUESTION # 42
A data engineer is ingesting time-series data in CSV format from a CRM system. The source data contains a
"subscription" field that contains what level of subscription the customer has purchased.
The data is ingested into a target field called "subscriptionLevel". which is an enum field that accepts the following values: "Lite*. "Standard", and "Pro''.
The data engineer knows that the CSV files contain some rows that do not conform to the above enum. Instead of rejecting those rows, the data engineer wants to transform non-conforming fields to "Standard".
Which mapping function(s) will accomplish this?
- A. iif(subscription.noiEquals(*Lite" || "Standard" || "Pro"), subscription, subscription, replacestrf
"Standard")) - B. iif(subscription.notEquals("Lite") || subscription.notEqualsl "Standard") || subscription.notEquatsCPro').
'Standard', subscription) - C. iif(subscription.equals("Lite") || subscription.equals("Standard") || subscriptionequalsfPro").
subscription. "Standard") - D. iif(subscription.equals("Lite") &&subscriptiorvequ3ls("Standard") && sub$ctiption.eqoals("Pro").
subscription. el$e("5tandard"))
Answer: D
NEW QUESTION # 43
What is model scoring in the Data Science Workspace?
- A. Applying a model to a data set
- B. Building a recipe
- C. Engineering features for a model
- D. Building and evaluating a model
Answer: D
NEW QUESTION # 44
A data engineer is required to partially ingest data via a Source Connector. Which three source connectors are permitted for this task? (Choose three.)
- A. FTP/SFTP
- B. HTTP API
- C. Adobe Analytics
- D. Microsoft Dynamics
- E. Azure Blob Storage
- F. Web SDK
Answer: A,C,E
Explanation:
Explanation
https://experienceleague.adobe.com/docs/experience-platform/data-prep/home.html
NEW QUESTION # 45
What is the difference between a data science training run and a data science scoring run?
- A. A training run involves learning patterns from your data while a scoring run is about generating insights from your data. A scoring run requires that a training run has occurred.
- B. A training run involves learning patterns from your data while a scoring run is about generating insights from your data. A training run requires that a scoring run has occurred.
- C. A training run involves generating insights from your data while a scoring run is about learning patterns from your data. A training run requires that a scoring run has occurred.
- D. A training run involves generating insights from your data while a scoring run is about learning patterns from your data. A scoring run requires that a training run has occurred.
Answer: C
Explanation:
Explanation
A training run involves generating insights from your data while a scoring run is about learning patterns from your data. A training run requires that a scoring run has occurred.
References:https://experienceleague.adobe.com/docs/experience-platform/data-science-workspace/overview.htm
NEW QUESTION # 46
A data engineer is required to partially ingest data via a Source Connector. Which three source connectors are permitted for this task? (Choose three.)
- A. FTP/SFTP
- B. HTTP API
- C. Adobe Analytics
- D. Microsoft Dynamics
- E. Azure Blob Storage
- F. Web SDK
Answer: A,C,E
NEW QUESTION # 47
A data engineer is bringing in audience definitions into Adobe Experience Platform from external sources.
Which standard Experience Data Model (XDM) class should the data engineer use?
- A. Profile Definition
- B. XDM Individual Profile
- C. XDM ExperienceEvent
- D. Segment Definition
Answer: C
NEW QUESTION # 48
A data engineer must set up a Streaming Connection with new authentication via the AEP Ul to stream non XDM data into an existing Dataset. How should the data engineer proceed?
- A. Destination > Streaming > HTTP API > New Account > Select Data > Map Fields to XDM Select Dataset > Finish
- B. Sources > Streaming > HTTP API > Add Data > New Account > Select Data > Map Fields to XDM > Select Dataset > Finish
- C. Sources > Streaming > HTTP API > New Account > Add Data > Select Data > Select Dataset > Finish
- D. Sources > Streaming > HTTP API > Add Data > New Account > Select Data > Map Fields to XDM > New Dataset > Finish
Answer: A
NEW QUESTION # 49
Which is a type of governance label?
- A. Currency Label
- B. Geographic Label
- C. Contract Label
- D. Event Label
Answer: B
NEW QUESTION # 50
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