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What are all of the BigQuery operations that Google charges for?
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Your infrastructure team has set up an interconnect link between Google Cloud and the on-premises network. You are designing a high-throughput streaming pipeline to ingest data in streaming from an Apache Kafka cluster hosted on-premises. You want to store the data in BigQuery, with as minima! latency as possible. What should you do?
You are using BigQuery with a regional dataset that includes a table with the daily sales volumes. This table is updated multiple times per day. You need to protect your sales table in case of regional failures with a recovery point objective (RPO) of less than 24 hours, while keeping costs to a minimum. What should you do?
You have a BigQuery table that ingests data directly from a Pub/Sub subscription. The ingested data is encrypted with a Google-managed encryption key. You need to meet a new organization policy that requires you to use keys from a centralized Cloud Key Management Service (Cloud KMS) project to encrypt data at rest. What should you do?
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You are running your BigQuery project in the on-demand billing model and are executing a change data capture (CDC) process that ingests data. The CDC process loads 1 GB of data every 10 minutes into a temporary table, and then performs a merge into a 10 TB target table. This process is very scan intensive and you want to explore options to enable a predictable cost model. You need to create a BigQuery reservation based on utilization information gathered from BigQuery Monitoring and apply the reservation to the CDC process. What should you do?
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Question 330 - Professional Data Engineer discussion

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You are designing a data warehouse in BigQuery to analyze sales data for a telecommunication service provider. You need to create a data model for customers, products, and subscriptions All customers, products, and subscriptions can be updated monthly, but you must maintain a historical record of all data. You plan to use the visualization layer for current and historical reporting. You need to ensure that the data model is simple, easy-to-use. and cost-effective. What should you do?

A.
Create a normalized model with tables for each entity. Use snapshots before updates to track historical data
Answers
A.
Create a normalized model with tables for each entity. Use snapshots before updates to track historical data
B.
Create a normalized model with tables for each entity. Keep all input files in a Cloud Storage bucket to track historical data
Answers
B.
Create a normalized model with tables for each entity. Keep all input files in a Cloud Storage bucket to track historical data
C.
Create a denormalized model with nested and repeated fields Update the table and use snapshots to track historical data
Answers
C.
Create a denormalized model with nested and repeated fields Update the table and use snapshots to track historical data
D.
Create a denormalized, append-only model with nested and repeated fields Use the ingestion timestamp to track historical data.
Answers
D.
Create a denormalized, append-only model with nested and repeated fields Use the ingestion timestamp to track historical data.
Suggested answer: D

Explanation:

- A denormalized, append-only model simplifies query complexity by eliminating the need for joins. - Adding data with an ingestion timestamp allows for easy retrieval of both current and historical states. - Instead of updating records, new records are appended, which maintains historical information without the need to create separate snapshots.

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asked 18/09/2024
Fahim Thanawala
43 questions
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