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NEW QUESTION 35
What is the difference between a data science training run and a data science scoring run?
- A. 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 hasoccurred.
- B. 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 hasoccurred.
- C. 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 hasoccurred.
- D. 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 hasoccurred.
Answer: D
NEW QUESTION 36
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.notEquals("Lite") || subscription.notEqualsl "Standard") || subscription.notEquatsCPro').
'Standard', subscription) - B. iif(subscription.equals("Lite") &&subscriptiorvequ3ls("Standard") && sub$ctiption.eqoals("Pro").
subscription. el$e("5tandard")) - C. iif(subscription.equals("Lite") || subscription.equals("Standard") || subscriptionequalsfPro").
subscription. "Standard") - D. iif(subscription.noiEquals(*Lite" || "Standard" || "Pro"), subscription, subscription, replacestrf
"Standard"))
Answer: B
NEW QUESTION 37
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. 3 JSON files in the format of: filenamejson (containing 5 million records) filename_2json (containing 5 million records) filename.3json (containing 2 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. 2 CSV files in the format of filename.csv (containing 6 million records) filename_2.csv (containing 6 million records)
Answer: D
NEW QUESTION 38
There are two existing entities in the Real-time Customer Profile store: one profile record and one event.
Both the event schema and profile schema have "email" as the primary identity. The _id is used to identify unique events.
Later, a data engineer ingests one additional profile fragment and another event:
Profile: ("email": "john@example.com*. "favBrand': "Adobe")
Event: {''_id": '5000". "email": "john@example.com". "purchase": "Photoshop 2021") What will the profile attributes and event look like when doing a profile lookupforjohn@example.com?
A)
B)
C)
D)
- A. Option D
- B. Option B
- C. Option A
- D. Option C
Answer: A
NEW QUESTION 39
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