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NEW QUESTION: 1
リリース計画を完了した後、チームはプロジェクトのROIがマイナスになる可能性が非常に高いことに気付きます。
チームは何をすべきですか？
A. 根本原因分析を実行して、配送プロセスから無駄を取り除き、ROIを向上させます
B. バックログに優先順位を付け、優先度の低いストーリーをリリース計画から削除して、確実なROIを確保します。
C. リリースコストを削減し、負のROIを最小限に抑えるために、一部のチームメンバーを置き換えます
D. ROIがマイナスになるリスクを関係者に伝え、リリース計画を更新する
Answer: D

NEW QUESTION: 2
What is the main benefit of having an automated build engine in a multi-speed IT scenario?
A. Ensures that operations are aware of new deployment.
B. Saves operations from testing a new build before it goes into production.
C. Ensures dependent systems are advised that a change has been made.
D. Ensures that when a library is changed dependency issues are identified.
Answer: C

NEW QUESTION: 3
Which HPE technologies allow integration with HPE Intelligent Series Racks? (Select two.)
A. HPE OneView
B. HPE Intelligent Provisioning
C. HPE Intelligent Management Center (IMC)
D. HPE Platinum Power Supplies
E. HPE Insight Diagnostics Online Edition
Answer: A,D
Explanation:
Explanation/Reference:
Explanation:
C: HPE Intelligent PDUs incorporate Power Discovery Services, which when combined with HPE's line of Platinum or Platinum Plus high efficiency power supplies, communicates with the attached servers to collect asset information for the automatic mapping of the power topology inside a rack, speeding implementation time and greatly reducing the risk of human errors that can cause power outages.
E: Location Discovery Services enable HPE OneView Advanced to automatically know and display the exact 3D location of Gen8 and Gen9 servers within HPE Intelligent Series Racks.
Note: The HP Intelligent Series is the first rack family to offer optional location discovery intelligence for advanced asset management.
This new capability integrates with HP Lights-Out Management (iLO) and HP Intelligent Power Distribution Units (iPDU).
References:
https://www.hpe.com/h20195/v2/getpdf.aspx/c04123237.pdf?ver=15
http://www8.hp.com/us/en/products/pdu/product-detail.html?oid=4206782
https://www.hpe.com/h20195/v2/getpdf.aspx/c04111367.pdf?ver=16

NEW QUESTION: 4

A. Put flat files into Google Cloud Storage.
B. Insert data into Google Cloud SQL.
C. Stream data into Google Cloud Datastore.
D. Load data into Google BigQuery.
Answer: D
Explanation:
Explanation
Google Big Query is for multi peta byte storage , HA(High availability) which means 24 hours, SQL interface
.
https://medium.com/google-cloud/the-12-components-of-google-bigquery-c2b49829a7c7
https://cloud.google.com/solutions/bigquery-data-warehouse
https://cloud.google.com/bigquery/
BigQuery is Google's serverless, highly scalable, low cost enterprise data warehouse designed to make all your data analysts productive. Because there is no infrastructure to manage, you can focus on analyzing data to find meaningful insights using familiar SQL and you don't need a database administrator.
BigQuery enables you to analyze all your data by creating a logical data warehouse over managed, columnar storage as well as data from object storage, and spreadsheets.
References: https://cloud.google.com/bigquery/