Netflix L4 Phone Screen
June 8, 2025 · 88 reads
Summary
I had a phone screen with Netflix for an L4 role, which involved solving two coding problems related to JSON object manipulation and path extraction.
Full Experience
first an easy followed by medium not complicated as it sounds
Question :
- Given a Json Object in the form of Map<String, Object>, and given a query to match a key by path (similar to jq), extract its value.
- How can you extend the functionality to support any key (“*”) match?
Note: No json parsing required.
Examples:
dict = '{"fname": "masked_first_name", "lname": "masked_last_name", "contacts": {"cell": "+1(999).999.9999", "home": "+1(333).333.3333" }}'
key = ".contacts.cell"
res = “+1(999).999.9999”
dict = '{"fname": "masked_first_name", "lname": "masked_last_name", "contacts": {"cell": "+1(999).999.9999", "home": "+1(333).333.3333" }}'
key = ".fname"
res = “masked_first_name”
dict = '{"fname": "masked_first_name", "lname": "masked_last_name", "contacts”:{"home”:”12345"}}’
key = ".contacts.cell"
res = null
dict '{"fname": "jomasked_first_namehn", "lname": "masked_last_name", "contacts": {"cell": "+1(999).999.9999", "home": "+1(333).333.3333" }}'
key = ".*.cell"
res = ["+1(999).999.9999"]
dict = '{"fname": "jomasked_first_namehn", "lname": {"cell": "+1(888).999.9999", "home": "+1(555).333.3333" }, "contacts": {"cell": "+1(999).999.9999", "home": "+1(333).333.3333" }}'
key = ".*.cell"
res = ["+1(888).999.9999", "+1(999).999.9999"]
key = contact.*
res = {'cell': '+1(999).999.9999', 'home': '+1(333).333.3333', 'cells': {'cell1': '121211'}}
Interview Questions (2)
1.
Extract Value from JSON Object by Path
Data Structures & Algorithms·Easy
Given a Json Object in the form of Map<String, Object>, and given a query to match a key by path (similar to jq), extract its value. Note: No json parsing required.
Examples:
dict = '{"fname": "masked_first_name", "lname": "masked_last_name", "contacts": {"cell": "+1(999).999.9999", "home": "+1(333).333.3333" }}'
key = ".contacts.cell"
res = “+1(999).999.9999”
dict = '{"fname": "masked_first_name", "lname": "masked_last_name", "contacts": {"cell": "+1(999).999.9999", "home": "+1(333).333.3333" }}'
key = ".fname"
res = “masked_first_name”
dict = '{"fname": "masked_first_name", "lname": "masked_last_name", "contacts”:{"home”:”12345"}}’
key = ".contacts.cell"
res = null
2.
Extend JSON Path Extraction with Wildcard Match
Data Structures & Algorithms·Medium
How can you extend the functionality to support any key (“*”) match?
Examples:
dict '{"fname": "jomasked_first_namehn", "lname": "masked_last_name", "contacts": {"cell": "+1(999).999.9999", "home": "+1(333).333.3333" }}'
key = ".*.cell"
res = ["+1(999).999.9999"]
dict = '{"fname": "jomasked_first_namehn", "lname": {"cell": "+1(888).999.9999", "home": "+1(555).333.3333" }, "contacts": {"cell": "+1(999).999.9999", "home": "+1(333).333.3333" }}'
key = ".*.cell"
res = ["+1(888).999.9999", "+1(999).999.9999"]
key = contact.*
res = {'cell': '+1(999).999.9999', 'home': '+1(333).333.3333', 'cells': {'cell1': '121211'}}