Question 16
DP-200 Practice Test
DP-200 Practice Test practice questions, page 4 of 15, with answer review and explanations.
Question 17
You are developing a data engineering solution for a company. The solution will store a large set of key-value pair data by using Microsoft Azure Cosmos DB. The solution has the following requirements: ✑ Data must be partitioned into multiple containers. ✑ Data containers must be configured separately. ✑ Data must be accessible from applications hosted around the world. ✑ The solution must minimize latency. You need to provision Azure Cosmos DB. Which three actions should you perform? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point.
- Configure account-level throughput.
- Provision an Azure Cosmos DB account with the Azure Table API. Enable geo-redundancy.
- Configure table-level throughput.
- Replicate the data globally by manually adding regions to the Azure Cosmos DB account.
- Provision an Azure Cosmos DB account with the Azure Table API. Enable multi-region writes.
Question 18
A company has a SaaS solution that uses Azure SQL Database with elastic pools. The solution will have a dedicated database for each customer organization. Customer organizations have peak usage at different periods during the year. Which two factors affect your costs when sizing the Azure SQL Database elastic pools? Each correct answer presents a complete solution. NOTE: Each correct selection is worth one point.
- maximum data size
- number of databases
- eDTUs consumption
- number of read operations
- number of transactions
Question 19
You are developing a solution using a Lambda architecture on Microsoft Azure. The data at rest layer must meet the following requirements: Data storage: ✑ Serve as a repository for high volumes of large files in various formats. ✑ Implement optimized storage for big data analytics workloads. ✑ Ensure that data can be organized using a hierarchical structure. Batch processing: ✑ Use a managed solution for in-memory computation processing. ✑ Natively support Scala, Python, and R programming languages. ✑ Provide the ability to resize and terminate the cluster automatically. Analytical data store: ✑ Support parallel processing. ✑ Use columnar storage. ✑ Support SQL-based languages. You need to identify the correct technologies to build the Lambda architecture. Which technologies should you use? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point. Hot Area:
Question 20