PDE Practice Question: A startup wants to build a data lake on Google…

A startup wants to build a data lake on Google Cloud using Cloud Storage. They need to store raw data in its original format for future analysis. Which storage class should they use to optimize for cost given that data will be accessed occasionally after the first month?

⚠ Common exam trap

Google Cloud often tests the misconception that lower storage cost always means lower total cost, ignoring the impact of retrieval fees and minimum storage duration penalties, which can make Coldline or Archive more expensive for data accessed occasionally within the first year.

Answer choices

Why each option matters

Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.

Correct answer & explanation

✓

Nearline storage class

Nearline storage class is the optimal choice because it offers low-cost storage for data accessed less than once a month, with a 30-day minimum storage duration. Since the data is accessed occasionally after the first month, Nearline provides significant cost savings over Standard while still offering low-latency access (milliseconds) suitable for analytics. Coldline and Archive have lower storage costs but impose higher retrieval fees and minimum storage durations (90 and 365 days respectively), making them more expensive for data that is accessed occasionally within the first year.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

✓
Nearline storage class
Why this is correct
Nearline storage suits data accessed less than once per month, offering lower storage cost than Standard while charging retrieval fees. Raw data retained in original format for occasional future analysis after the first month matches Nearline's access pattern and cost profile.
✗
Coldline storage class
Why it's wrong here
Coldline suits data accessed less than once a year, so its 90-day minimum storage duration and per-access retrieval fees penalise monthly reads. It would be right for disaster recovery or long-term backups. Nearline, with 30-day minimum and low retrieval cost, matches occasional monthly access.
✗
Standard storage class
Why it's wrong here
Standard charges the highest per-gigabyte storage rate and carries no minimum duration, so it wastes money on data untouched for a month. It fits hot, frequently accessed data or short-lived objects. Nearline's lower storage price with a 30-day minimum matches occasional access.
✗
Archive storage class
Why it's wrong here
Archive targets data accessed less than once a year, imposing a 365-day minimum storage duration and the highest retrieval fees, so occasional monthly reads cost far more. It suits compliance retention or cold backups. Nearline's 30-day minimum and cheap retrieval fit occasional access.

Quick reference

AWS S3 Storage Class Comparison

Storage Class	Min Duration	Retrieval	Use Case
S3 Standard	None	Immediate	Frequently accessed data
S3 Standard-IA	30 days	Immediate	Infrequent access, rapid retrieval
S3 One Zone-IA	30 days	Immediate	Non-critical infrequent data
S3 Intelligent-Tiering	None	Immediate–hours	Unknown or changing access patterns
S3 Glacier Instant	90 days	Milliseconds	Archive with instant retrieval
S3 Glacier Flexible	90 days	Minutes–hours	Archive, flexible retrieval
S3 Glacier Deep Archive	180 days	Hours	Long-term compliance archive

Go deeper

PDE Practice Question: A startup wants to build a data lake on Google…

Why each option matters

Option-by-option breakdown

AWS S3 Storage Class Comparison

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