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NEW QUESTION: 1
Your customer has an existing supplier catalog set up in their systems that uses U.S. dollars as the currency. They would like to display this same data in euros.
What should you do to accomplish this?
A. Use Generate Purchase Price by Currency (R4106101) to update all the prices based on the currency and exchange rate entered in the processing options.
B. Use Supplier/Item Relationship (P43090) to update all the prices displayed based on the currency and exchange rate entered.
C. Use Supplier/Item Relationship (P43090) to update all the prices displayed based on the currency entered and the exchange rate tables.
D. Use Convert Supplier Currency Codes (R41061A) to update all the prices based on the currency and exchange rate entered in the processing options.
E. Use Supplier Catalog Maintenance (P41061) to update all the prices displayed based on the currency and exchange rate entered.
Answer: C

NEW QUESTION: 2
Which technologies can be used with Ethernet switches to achieve redundancy? (Choose two)
A. STP
B. OSPF
C. LAG
D. RIP
Answer: A,B

NEW QUESTION: 3
A service developer is creating a service that will be used by mobile clients. Which piece of advice should the developer consider while designing it?
A. Consider the interface types, payloads types, and security approaches which are easily consumed by mobile devices.
B. Design for next generation interfaces to ensure that their services will not need to change in the future.
C. Carefully choose the implementation language and the monitoring capabilities.
D. Create services that are arcane in nature to enhance the security of the services.
Answer: A

NEW QUESTION: 4
You are developing a solution using a Lambda architecture on Microsoft Azure.
The data at test layer must meet the following requirements:
Data storage:
*Serve as a repository (or 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.

Answer:
Explanation:
Explanation

Data storage: Azure Data Lake Store
A key mechanism that allows Azure Data Lake Storage Gen2 to provide file system performance at object storage scale and prices is the addition of a hierarchical namespace. This allows the collection of objects/files within an account to be organized into a hierarchy of directories and nested subdirectories in the same way that the file system on your computer is organized. With the hierarchical namespace enabled, a storage account becomes capable of providing the scalability and cost-effectiveness of object storage, with file system semantics that are familiar to analytics engines and frameworks.
Batch processing: HD Insight Spark
Aparch Spark is an open-source, parallel-processing framework that supports in-memory processing to boost the performance of big-data analysis applications.
HDInsight is a managed Hadoop service. Use it deploy and manage Hadoop clusters in Azure. For batch processing, you can use Spark, Hive, Hive LLAP, MapReduce.
Languages: R, Python, Java, Scala, SQL
Analytic data store: SQL Data Warehouse
SQL Data Warehouse is a cloud-based Enterprise Data Warehouse (EDW) that uses Massively Parallel Processing (MPP).
SQL Data Warehouse stores data into relational tables with columnar storage.
References:
https://docs.microsoft.com/en-us/azure/storage/blobs/data-lake-storage-namespace
https://docs.microsoft.com/en-us/azure/architecture/data-guide/technology-choices/batch-processing
https://docs.microsoft.com/en-us/azure/sql-data-warehouse/sql-data-warehouse-overview-what-is