Correct Answer: C

• Cloud Data Fusion is a fully managed, cloud-native data integration service designed for building and managing ETL/ELT data pipelines efficiently. It offers a visual interface for pipeline construction, eliminating the need for coding.
• Wrangler, a feature within Cloud Data Fusion, provides a no-code environment for visually transforming, cleaning, and preparing your data.
• By leveraging Cloud Data Fusion and Wrangler, you can easily standardize telephone formats and country code identifiers without writing any code. Additionally, you can configure the service to automatically execute these normalization tasks on a regular schedule.

Why the other options are incorrect:

• A: Submitting a Spark job to Dataproc Serverless requires manual coding and cluster management, which contradicts the requirement for a quick, no-code solution.
• B: While BigQuery is powerful for querying and analyzing data, it's not the most efficient tool for data transformation tasks like normalizing formats.
• D: Dataflow SQL is better suited for complex data processing tasks and may necessitate additional manual intervention and coding for setting up recurring jobs, making it less ideal for this scenario.