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NEW QUESTION: 1
Chatter Plusユーザーについて正しいのはどれですか？
A. Chatter Freeユーザーがアクセスできるすべてのアカウント、連絡先にアクセスできます。また、最大10個のカスタムオブジェクトにのみアクセスできます。
B. アカウント、連絡先、および最大10個のカスタムオブジェクトのみ。
C. Chatter Freeユーザーがアクセスできるすべてのものにアクセスでき、最大10個のカスタムオブジェクトにもアクセスできますが、標準オブジェクトにはアクセスできません。
D. コンテンツ、アイデア、回答、アカウント、連絡先、おしゃべり、グループ、人物、[プロフィール]タブ、最大10個のカスタムオブジェクトのみ
E. コンテンツ、アイデア、回答、アカウント、連絡先、おしゃべり、グループ、人物、[プロフィール]タブ、最大20個のカスタムオブジェクト
Answer: D

NEW QUESTION: 2
You have developed a containerized web application that will serve Internal colleagues during business hours.
You want to ensure that no costs are incurred outside of the hours the application is used. You have just created a new Google Cloud project and want to deploy the application. What should you do?
A. Deploy the container on App Engine flexible environment with autoscaling. and set the value min_instances to zero in the app yaml
B. Deploy the container on Cloud Run for Anthos, and set the minimum number of instances to zero
C. Deploy the container on Cloud Run (fully managed), and set the minimum number of instances to zero.
D. Deploy the container on App Engine flexible environment with manual scaling, and set the value instances to zero in the app yaml
Answer: A

NEW QUESTION: 3
Your client wants certain inventory items of high importance to be counted periodically to improve the average level of inventory accuracy.
What type of counting would you recommend?
A. Serialized Count
B. Blind Count
C. Zero Quantity Count
D. Cycle Count
E. Manual Count
Answer: D

NEW QUESTION: 4
Your company is performing data preprocessing for a learning algorithm in Google Cloud Dataflow.
Numerous data logs are being are being generated during this step, and the team wants to analyze them.
Due to the dynamic nature of the campaign, the data is growing exponentially every hour. The data scientists have written the following code to read the data for a new key features in the logs.
BigQueryIO.Read
.named("ReadLogData")
.from("clouddataflow-readonly:samples.log_data")
You want to improve the performance of this data read. What should you do?
A. Use of both the Google BigQuery TableSchema and TableFieldSchema classes.
B. Call a transform that returns TableRow objects, where each element in the PCollexction represents a single row in the table.
C. Specify the Tableobject in the code.
D. Use .fromQuery operation to read specific fields from the table.
Answer: D
Explanation:
BigQueryIO.read.from() directly reads the whole table from BigQuery. This function exports the whole table to temporary files in Google Cloud Storage, where it will later be read from. This requires almost no computation, as it only performs an export job, and later Dataflow reads from GCS (not from BigQuery).
BigQueryIO.read.fromQuery() executes a query and then reads the results received after the query execution. Therefore, this function is more time-consuming, given that it requires that a query is first executed (which will incur in the corresponding economic and computational costs).