Question 182 of 300
hardmultiple choiceObjective-mapped

ACE Practice Question: A financial services company needs to run…

This ACE practice question tests your understanding of a financial services company needs to run…. Read the scenario carefully and evaluate each option against the stated constraints before committing to an answer. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.

A financial services company needs to run analytics queries on transaction data that arrives in real-time. The queries must return results within 2 seconds and the dataset grows by ~100 GB per day. The company also needs to retain all data for 7 years for regulatory compliance. Which architecture best satisfies these requirements?

Question 1hardmultiple choice
Full question →

A financial services company needs to run analytics queries on transaction data that arrives in real-time. The queries must return results within 2 seconds and the dataset grows by ~100 GB per day. The company also needs to retain all data for 7 years for regulatory compliance. Which architecture best satisfies these requirements?

Answer choices

Why each option matters

Good practice is not just finding the correct option. The wrong answers often show the exact trap the exam wants you to fall into.

A

Distractor review

Store transactions in Cloud Bigtable and use Dataproc/Spark for analytics queries.

Bigtable doesn't natively support SQL analytics. Spark jobs on Dataproc add latency and complexity; this pattern doesn't reliably achieve 2-second query results for ad-hoc analytics.

B

Distractor review

Use Cloud SQL for storage and Cloud Dataprep for analytics transformations.

Cloud SQL cannot scale to 100 GB/day analytics workloads efficiently. Cloud Dataprep is a data preparation UI tool, not an analytics query engine.

C

Distractor review

Write transactions to Cloud Spanner; run analytics queries directly against Spanner.

Spanner is an OLTP database optimized for transactional workloads, not complex analytics. Large analytical queries would impact OLTP performance and cost would be very high.

D

Best answer

Stream transactions through Pub/Sub → Dataflow → BigQuery; run analytics on BigQuery.

This is the canonical GCP streaming analytics pattern: Pub/Sub for ingestion, Dataflow for transformation, BigQuery for analytics with sub-second to 2-second query performance and 7-year retention.

Common exam trap

Common exam trap: NAT rules depend on direction and matching traffic

NAT is not only about the public address. The inside/outside interface roles and the ACL or rule that matches traffic are just as important.

Technical deep dive

How to think about this question

NAT questions usually test address translation, overload/PAT behaviour, static mappings and whether the right traffic is being translated. Read the interface direction and address terms carefully.

KKey Concepts to Remember

  • Static NAT maps one inside address to one outside address.
  • PAT allows many inside hosts to share one public address using ports.
  • Inside local and inside global describe the private and translated addresses.
  • NAT ACLs identify traffic for translation, not always security filtering.

TExam Day Tips

  • Identify inside and outside interfaces first.
  • Check whether the scenario needs static NAT, dynamic NAT or PAT.
  • Do not confuse NAT matching ACLs with normal packet-filtering intent.

Key takeaway

NAT direction and interface roles matter as much as the IP address mapping. Inside/outside designation controls which traffic is translated.

Related practice questions

Related ACE practice-question pages

Use these pages to review the topic behind this question. This is how one missed question becomes focused revision.

More questions from this exam

Keep practising from the same exam bank, or move into a focused topic page if this question exposed a weak area.

Practice this exam

Start a free ACE practice session

Short sessions build daily habit. Longer sessions build exam-day stamina. Try a timed session to simulate real conditions.

FAQ

Questions learners often ask

What does this ACE question test?

Static NAT maps one inside address to one outside address.

What is the correct answer to this question?

The correct answer is: Stream transactions through Pub/Sub → Dataflow → BigQuery; run analytics on BigQuery. — Pub/Sub ingests real-time transactions and delivers them to Dataflow, which processes and lands data in BigQuery. BigQuery's columnar storage and massively parallel query engine handles 100 GB/day growth and can return analytics results in seconds. BigQuery's long-term storage tier automatically reduces cost for data older than 90 days, and table expiration can be set to 7 years. This streaming + DWH pattern is the canonical GCP real-time analytics architecture.

What should I do if I get this ACE question wrong?

Review the four NAT address types (inside local, inside global, outside local, outside global), PAT port overload, and static vs dynamic NAT use cases. Then practise related ACE NAT questions on configuration and troubleshooting.

About these practice questions

Courseiva creates original exam-style practice questions with explanations and wrong-answer analysis. It does not publish real exam questions, exam dumps, or protected exam content. Learn why practice questions differ from exam dumps →

How Courseiva writes practice questions · Editorial policy

Discussion

Loading comments…

Sign in to join the discussion.

This ACE practice question is part of Courseiva's free Google Cloud certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the ACE exam.