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SAP Certified Associate - Data Analyst - SAP Analytics Cloud
- Exam Number/Code : C_SAC_2501
- Exam Name : SAP Certified Associate - Data Analyst - SAP Analytics Cloud
- Questions and Answers : 213 Q&As
- Update Time: 2019-01-10
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NEW QUESTION: 1
内部指図と固定資産の統合ポイントは何ですか?
応答:
A. 注文タイプ
B. 資産クラス
C. 決済規則
D. 償却領域
Answer: C
NEW QUESTION: 2
Can Amazon S3 uploads resume on failure or do they need to restart?
A. Resume on failure
B. Depends on the file size
C. You can resume them, if you flag the "resume on failure" option before uploading.
D. Restart from beginning
Answer: A
NEW QUESTION: 3
Which Azure data storage solution should you recommend for each application? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation
Health Review: Azure SQL Database
Scenario: ADatum identifies the following requirements for the Health Review application:
* Ensure that sensitive health data is encrypted at rest and in transit.
* Tag all the sensitive health data in Health Review. The data will be used for auditing.
Health Interface: Azure Cosmos DB
ADatum identifies the following requirements for the Health Interface application:
* Upgrade to a data storage solution that will provide flexible schemas and increased throughput for writing data. Data must be regionally located close to each hospital, and reads must display be the most recent committed version of an item.
* Reduce the amount of time it takes to add data from new hospitals to Health Interface.
* Support a more scalable batch processing solution in Azure.
* Reduce the amount of development effort to rewrite existing SQL queries.
Health Insights: Azure SQL Data Warehouse
Azure SQL Data Warehouse is a cloud-based enterprise data warehouse that leverages massively parallel processing (MPP) to quickly run complex queries across petabytes of data. Use SQL Data Warehouse as a key component of a big data solution.
You can access Azure SQL Data Warehouse (SQL DW) from Databricks using the SQL Data Warehouse connector (referred to as the SQL DW connector), a data source implementation for Apache Spark that uses Azure Blob Storage, and PolyBase in SQL DW to transfer large volumes of data efficiently between a Databricks cluster and a SQL DW instance.
Scenario: ADatum identifies the following requirements for the Health Insights application:
* The new Health Insights application must be built on a massively parallel processing (MPP) architecture that will support the high performance of joins on large fact tables References:
https://docs.databricks.com/data/data-sources/azure/sql-data-warehouse.html
NEW QUESTION: 4
View the Exhibit.
Refer to the exhibit. Which type of FCoE topology is displayed?
A. vPC
B. FCoE with Cisco 2232 Fabric Extenders
C. remote-attach
D. direct-attach
Answer: D
Explanation:
Explanation/Reference:
Explanation: