Looking again at the fragment of boarding pass, you can make out that the second letter of the carrier code (carrier column) is A. How many flights landed in LAX on Dec 30 or 31, where the carrier code ended with A?

Question

BlackTom AI · Accepted Answer

This question asks us to determine a count under several constraints applied to a data fragment about flights to LAX.
First, identify the exact filters: the flight must land at LAX, the date must be December 30 or December 31, and the carrier code must satisfy two conditions: (1) its second letter is A, and (2) it ends with A. The question is numerical, so the final step is to count all records matching all these criteria.
Next, consider the data structure you’d use to perform this task: a dataset or table with at least the following columns—destination airport (to verify LAX), landing date, and carrier code (to apply the two letter conditions).
To apply the date filter, isolate rows where the landing date is either 12/30 or 12/31 of the relevant year. If the dataset spans multiple years, ensure you’re using the correct year for Dec 30/31.
For the carrier code constraints, inspect the carrier code string for each row and check two conditions: the character in position 2 (the second letter) must be 'A', and the final character of the string must also be 'A'. This is case-sensitive in many datasets, so confirm whether codes are uppercase in your data and apply accordingly.
Once both filters are applied, perform a simple row count to obtain the total number of flights meeting all criteria.
If you encounter missing or malformed data (such as null carrier codes, missing dates, or non-LAX destinations), decide on a data-cleaning rule: exclude such rows from the count or impute consistently, depending on the analysis standards you’re following.
Now, given that the prompt provides an answer of 50 in the answer field, you would compare your computed count to 50 to verify consistency, but in this reasoning, we’re outlining the method rather than confirming a specific numeric result.
In practice, you could implement this with a SQL query like:
  SELECT COUNT(*) FROM flights
  WHERE destination = 'LAX'
    AND date IN ('YYYY-12-30','YYYY-12-31')
    AND SUBSTRING(carrier_code, 2, 1) = 'A'
    AND RIGHT(carrier_code, 1) = 'A';
Or in a data-analysis tool, apply equivalent boolean filters and then count the remaining rows.
If any of the necessary fields are not present in the provided fragment (for example, the exact date format or the carrier code length), adapt the checks to the actual schema (e.g., using DATE parsing functions or different substring positions) while preserving the two conditions on the carrier code.
Finally, remember that the accuracy of the result hinges on consistent data formatting and correct year identification for the December dates; mismatches in year or format can lead to off-by-one errors in the count.

BUSI_V 335 972 2025SS MT2 Practice Exam - Airports

Looking again at the fragment of boarding pass, you can make out that the second letter of the carrier code (carrier column) is A. How many flights landed in LAX on Dec 30 or 31, where the carrier code ended with A?

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