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SAP Certified Associate - Implementation Consultant - SAP S/4HANA Cloud Public Edition, Financial Accounting

  • Exam Number/Code : C-S4CFI-2504
  • Exam Name : SAP Certified Associate - Implementation Consultant - SAP S/4HANA Cloud Public Edition, Financial Accounting
  • Questions and Answers : 213 Q&As
  • Update Time: 2019-01-10
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NEW QUESTION: 1
The number of APs in a business is around 20 and the number of users is about 300. Which controller is the best when the controller is selected?
A. ACU2
B. AC6605
C. AC6005
D. X1E with board AC
Answer: C

NEW QUESTION: 2
Exhibit:

A customer is testing a dual-fabric FC SAN configuration as shown in the exhibit and the zones are implemented on the switches shown below.

If all the nodes are in the SLM reporting nodes list, hoe many path per LUN should the customer expect when simulating an FC SFP failure by bringing LIF_3 offline?
A. 4 paths
B. 3 paths
C. 15 paths
D. 7 paths
Answer: D

NEW QUESTION: 3
プロジェクトチームは、ユーザーストーリーが製品所有者の満足のいくように完了したという正式な確認をいつ受け取りますか?
正解をお選びください。
応答:
A. ユーザー受け入れテスト中
B. スプリントレビュー中
C. 毎日のスクラムミーティング中
D. スプリント回顧展中
Answer: B

NEW QUESTION: 4
費用対効果の高い方法でデータを迅速に保存する必要があります。また、6か月以内に処理するデータ量がわからなくなり、処理が急増する可能性があります。どのビッグデータツールを使うべきですか?
正しい答えを選びなさい:
A. 赤方偏移
B. キネシス
C. 機械学習
D. EMR
Answer: D
Explanation:
With Amazon EMR, it is easy to resize a running cluster. You can add core nodes, which hold the Hadoop Distributed File System (HDFS), at any time to increase your processing power and increase the HDFS storage capacity (and throughput). Additionally, you can use Amazon S3 natively or using EMFS along with or instead of local HDFS, which allows you to decouple your memory and compute from your storage providing greater flexibility and cost efficiency. You can also add and remove task nodes at any time which can process Hadoop jobs but do not maintain HDFS. Some customers add hundreds of instances to their clusters when their batch processing occurs and remove the extra instances when processing completes. For example, you may not know how much data your clusters will be handling in 6 months, or you may have spikey processing needs. With Amazon EMR, you don't need to guess your future requirements or provision for peak demand because you can easily add or remove capacity at any time.
Reference:
https://d0.awsstatic.com/whitepapers/Big_Data_Analytics_Options_on_AWS.pdf