Question 263 of 300
hardmultiple choiceObjective-mapped

GCDL Practice Question: A financial services company needs a managed data…

This GCDL practice question tests your understanding of a financial services company needs a managed data…. 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 a managed data warehouse that can ingest streaming transaction data in real time AND support complex SQL analytics across years of historical data — all without managing any infrastructure. Which Google Cloud product meets both streaming ingest and analytical query requirements in a single serverless service?

Question 1hardmultiple choice
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A financial services company needs a managed data warehouse that can ingest streaming transaction data in real time AND support complex SQL analytics across years of historical data — all without managing any infrastructure. Which Google Cloud product meets both streaming ingest and analytical query requirements in a single serverless service?

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

Cloud SQL with read replicas — one instance for streaming writes, read replicas for analytical queries

Cloud SQL is a transactional OLTP database, not a data warehouse. It doesn't scale to petabytes of analytical data and its streaming ingest is limited by transactional throughput constraints. It's not designed for the analytical query complexity described.

B

Distractor review

Cloud Dataflow running continuously to process the stream and load to Persistent Disk for SQL queries

Dataflow processes streams but writes to sinks (BigQuery, Bigtable, GCS). Persistent Disk doesn't support SQL analytics. This description conflates stream processing with storage and analytics — BigQuery handles all three layers.

C

Distractor review

Cloud Bigtable for streaming ingest and BigQuery for historical analytics — two separate services

While this combination works technically, it introduces data synchronization complexity and separate management overhead. The question asks for a single service meeting both requirements, which BigQuery does natively.

D

Best answer

BigQuery, which supports real-time streaming ingest via its Storage Write API and large-scale analytical SQL queries across petabytes of data in a single fully managed, serverless service

BigQuery meets both requirements natively. The Storage Write API (and legacy streaming API) enables sub-minute data availability for analytics. BigQuery's distributed query engine handles analytical SQL across petabytes. No infrastructure to manage, no separate streaming and analytical systems to maintain.

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.

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FAQ

Questions learners often ask

What does this GCDL question test?

Static NAT maps one inside address to one outside address.

What is the correct answer to this question?

The correct answer is: BigQuery, which supports real-time streaming ingest via its Storage Write API and large-scale analytical SQL queries across petabytes of data in a single fully managed, serverless service — BigQuery supports both streaming inserts (real-time data ingest via the BigQuery Storage Write API or legacy streaming API) and large-scale analytical SQL queries across petabytes of historical data — all in a single serverless, fully managed service. This combination of streaming ingest and analytical querying in one managed service without separate infrastructure makes BigQuery uniquely suited for this requirement.

What should I do if I get this GCDL 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 GCDL NAT questions on configuration and troubleshooting.

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This GCDL 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 GCDL exam.