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NEW QUESTION: 1
You are reviewing the design of an existing fact table named factSales, which is loaded incrementally from a SQL Azure database by a SQL Server Integration Services (SSIS) package each hour. The fact table has approximately 4 billion rows and is dimensioned by product, sales date, and sales time of day.

The database administrator is concerned about the rapid growth of the database and users experience poor reporting performance against this database. Reporting requirements have recently changed and the only remaining report that uses this fact table reports sales by product name, sale month, and sale year.
No other reports will be created against this table.
You need to reduce the report processing time and minimize the growth of the database.
What should you do?
A. Create a view over the fact table to sum orderTotal by month.
B. Partition the fact table by productKey.
C. Change the granularity of the fact table to month.
D. Create an indexed view over the fact table to sum orderTotal by month.
Answer: C
Explanation:
Explanation/Reference:
Explanation:

NEW QUESTION: 2
You want to optimize the performance of an accurate, real-time, weather-charting application. The data comes from 50,000 sensors sending 10 readings a second, in the format of a timestamp and sensor reading. Where should you store the data?
A. Google Cloud SQL
B. Google Cloud Storage
C. Google Cloud Bigtable
D. Google BigQuery
Answer: C
Explanation:
Explanation
It is time-series data, So Big Table.
https://cloud.google.com/bigtable/docs/schema-design-time-series
Google Cloud Bigtable is a scalable, fully-managed NoSQL wide-column database that is suitable for both real-time access and analytics workloads.
Good for:
* Low-latency read/write access
* High-throughput analytics
* Native time series support
* Common workloads:
* IoT, finance, adtech
* Personalization, recommendations
* Monitoring
* Geospatial datasets
* Graphs
References: https://cloud.google.com/storage-options/

NEW QUESTION: 3
Can you use the AWS Identity and Access Management (IAM) to assign permissions determining who can manage or modify RDS resources?
A. No, this permission cannot be assigned by AWS IAM.
B. No, AWS IAM is used only to assign IDs to AWS users.
C. Yes, you can.
D. No, AWS IAM is used only to assign activities.
Answer: C
Explanation:
Explanation
Use AWS Identity and Access Management (IAM) policies to assign permissions that determine who is allowed to manage RDS resources. For example, you can use IAM to determine who is allowed to create, describe, modify, and delete DB instances, tag resources, or modify DB security groups.
References: