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NEW QUESTION: 1
ある企業が、技術専門家と顧客の分析でこれまでの経験がない製品を開発するための新しいプロジェクトに資金を投入しようとしています。プロジェクトマネージャーは、考えられる解決策を開発するために、事実と仮定のリストを作成します。
承認を得るためにプロジェクト憲章を提出する前に、プロジェクトマネージャーは何をすべきですか？
A. プロジェクトの選択を評価して挑戦します。
B. 現場の専門家による専門家の判断を適用します。
C. 社内のすべてのプロジェクトから学んだ教訓を確認します。
D. 仮定を事実として受け入れ、承認のためにプロジェクト憲章を提出します。
Answer: C

NEW QUESTION: 2
A BPM application developer has enabled auto-tracking for a car tire production and run the update tracking definitions command in process designer. During a playback, the BPM application developer is asked to rename the auto-tracking group from "at1392376481525" to "tireProduction" and run update tracking definitions again.
When building a custom dashboard, what resource should the BPM application developer use to retrieve the data?
A. The "at1392376481525" view for the "tireProduction" table.
B. The "at1392376481525" view for the "at1392376481525" table.
C. The "tireProduction" view for the "at1392376481525" table.
D. The "tireProduction" view for the "tireProduction" table.
Answer: C

NEW QUESTION: 3
A customer is collecting clickstream data using Amazon Kinesis and is grouping the events by IP address into 5-minute chunks stored in Amazon S3.
Many analysts in the company use Hive on Amazon EMR to analyze this data. Their queries always reference a single IP address. Data must be optimized for querying based on IP address using Hive running on Amazon EMR.
What is the most efficient method to query the data with Hive?
A. Store the Amazon S3 objects with the following naming scheme: bucket_name/source=ip_address/ year=yy/month=mm/day=dd/hour=hh/filename.
B. Store the events for an IP address as a single file in Amazon S3 and add metadata with keys:
Hive_Partitioned_IPAddress.
C. Store an index of the files by IP address in the Amazon DynamoDB metadata store for EMRFS.
D. Store the data in an HBase table with the IP address as the row key.
Answer: C