Free Cloud Digital Leader Exam Braindumps
Cloud Digital Leader Questions 51–55 (page: 12)

Updated On: 10-Feb-2026

An organization has collected petabytes of historical data. They need an advanced analysis solution that is fast, scalable, and fully managed.
Which Google product or service should the organization use?

  1. BigQuery
  2. Cloud SQL
  3. Firestore
  4. Cloud Storage

Answer(s): A


Reference:

https://cloud.google.com/blog/products/databases/check-out-how-to-optimize-database-service- cloud-bigtable



An organization needs to store daily transactional data such as customer records and purchase history. The data follows a consistent schema and is cross-referenced.
Which type of service should the organization use?

  1. Non-relational database
  2. Data warehouse
  3. Relational database
  4. Data lake

Answer(s): C


Reference:

https://cloud.google.com/learn/what-are-transactional-databases



An organization wants to analyze data in a data warehouse. How should they proceed?

  1. Import data into a semi-structured time-series database.
  2. Choose a system to store structured and semi-structured data that supports ad-hoc analysis and custom reporting.
  3. Copy unstructured data into a single large object store.
  4. Ensure data is stored in structured tables and rows to support transactional queries and relationships.

Answer(s): B



An organization processes batch sales data at the end of every month to analyze sales trends and derive business insights. They want to improve accuracy and make near real-time decisions.
What should the organization do?

  1. Change from a relational database to a NoSQL database.
  2. Filter the data so reports are generated faster.
  3. Switch from batch processing to stream processing.
  4. Process batch reports weekly instead of monthly.

Answer(s): C


Reference:

https://www.gartner.com/smarterwithgartner/six-best-practices-for-real-time-analytics



An organization supplies electric car chargers in a nationwide network. They store customer and charging data in BigQuery. They want to efficiently upgrade and maintain their network to reduce waste and achieve their sustainability goals. How can Google Cloud services help the organization?

  1. Secure data access by using Identity and Access Management.
  2. Provide access to third-party developers by creating an API using Apigee.
  3. Create a model in BigQuery to predict future maintenance schedules.
  4. Move data from BigQuery to Cloud Storage to reduce storage costs.

Answer(s): C


Reference:

https://cloud.google.com/blog/products/networking/expanding-google-cloud-network-infrastructure- and-services



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