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Ch. 2 Storage and Databases
Ch. 2 Storage and Databases
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13 Terms
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1
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When should you store data in Cloud Storage?
when data is unstructured
2
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When should you store data in Cloud Spanner?
when data is structured, needs to be analyzed, relational, and needs to scale
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When should you store data in Cloud SQL?
when data is structured, needs to be analyzed, relational, and does not need to scale
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When should you store data in Cloud Firestore?
when data is semi-structured, does not need to be analyzed, nonrelational, NoSQL
5
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When should you store data in Cloud Bigtable?
when data is structured, needs to be analyzed, and needs low latency
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When should you store data in BigQuery?
when data is structured, needs to be analyzed, and does not need low latency
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When should you store data in Cloud Memorystore?
when your app needs a Redis key value in memory DB
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What are the 3 steps in Data Modeling?
conceptual, logical, physical
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What is Lifecycle Management?
an automation script that manages objects storage tier, based on a condition
10
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What makes Cloud Spanner special?
its a SQL storage service that is able to scale horizontally, while being highly available and consistent
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Your application requires access to a Cloud Storage bucket. What is the best way to achieve this?
create a custom service account that uses principle of least privilege
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What is the best way to grant someone temporary access to a file if they do not have a Google account?
use a signed URL with an expiration date
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How are Cloud SQL/ PostgreSQL instances High Availability?
instances share a regional replicated persistent disk