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我們為你提供通过 Oracle 1Z0-1041-21 認證的有效題庫，來贏得你的信任。實際操作勝于言論，所以我們不只是說，還要做，為考生提供 Oracle 1Z0-1041-21 試題免費試用版。你將可以得到免費的 1Z0-1041-21 題庫DEMO，只需要點擊一下，而不用花一分錢。完整的 Oracle 1Z0-1041-21 題庫產品比試用DEMO擁有更多的功能，如果你對我們的試用版感到滿意，那么快去下載完整的 Oracle 1Z0-1041-21 題庫產品，它不會讓你失望。

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Oracle 1Z0-1041-21 培訓資料將是你成就輝煌的第一步，有了它，你一定會通過眾多人都覺得艱難無比的 Oracle 1Z0-1041-21 考試。獲得了 Oracle Cloud 認證，你就可以在你人生中點亮你的心燈，開始你新的旅程，展翅翱翔，成就輝煌人生。

選擇使用 Oracle 1Z0-1041-21 考古題產品，離你的夢想更近了一步。我們為你提供的 Oracle 1Z0-1041-21 題庫資料不僅能幫你鞏固你的專業知識，而且還能保證讓你一次通過 1Z0-1041-21 考試。

購買後，立即下載 1Z0-1041-21 題庫 (Oracle Cloud Platform Enterprise Analytics 2021 Specialist): 成功付款後, 我們的體統將自動通過電子郵箱將您已購買的產品發送到您的郵箱。（如果在12小時內未收到，請聯繫我們，注意：不要忘記檢查您的垃圾郵件。）

最新的 Oracle Cloud 1Z0-1041-21 免費考試真題:

1. What is not a pre-requisite for deploying the Oracle Business Intelligence Cloud Service RemoteData Connector?

A) Download the Oracle Business Intelligence Cloud Service Remote Data Connector WAR file from the Oracle Technology Network website.
B) Download and Install Weblogic Server and Node Manager from the Oracle Technology Network website or, alternatively, download and install Apache Tomcat.
C) Obtain the OAuth 2.0 token from the IETF OAuth Working Group website and save it to the Oracle Analytics Cloud bi_home directory.
D) Configure the load balancer or HTTP server for Secured Socket Layer communication.

2. Which two statements are true regarding the ways in which Oracle Analytics Cloud provides self-service data preparation capabilities?

A) Data sources can include application tables, data warehouses, data lake reservoirs, delimited flat files, and Microsoft Excel spreadsheets in the .xlsx format.
B) Join rules formashing up data from relational sources and delimited flat files can only be defined within the Oracle Analytics Cloud Data Modeler.
C) Data flows within the data preparation feature of Data Visualization can be used to extract, wrangle, and format data content from all supported data sources to create data sets upon which visuals may be constructed.
D) The Oracle Data Integrator tool used for extraction, load, and transformation of data is a foundational component of the Oracle Analytics Cloud and is essential for data preparation.

3. Which two statements are true about a segment as defined in the Oracle Analytics Cloud machine learning functionality?

A) It is a statistically determined group of data points that may contribute to predicting the value of an attribute of interest.
B) It Is a component of a data flow sequence.
C) It Is a component of the output from the Explain functionality.
D) It is the resulting data set after applying a filter in a data flow.

4. The data loads for your Essbase cube are taking many hours, due to which the cube is unavailable to theuser for extended periods every day. You are assigned the task of optimizing the data load process.
Which are four optimization steps?

A) positioning data in reverse order as the outline
B) loading from the Essbase server
C) making the data source as small as possible by eliminating redundancy
D) using Parallel load
E) grouping the data source by sparse-dimensionmember combination
F) switching from multiple data fields to a single data field

5. You've created a machine learning model and investigated how accurate it is. How should you use it in Oracle Analytics Cloud?

A) Create a data flow with a cumulative value prediction.
B) Use a data flow with an Apply Model step and save as a new data set.
C) Embed the model into a data flow sequence.
D) Use a data flow with a Commit Model step and save as a new data set.
E) Create a custom calculation based on a related formula.

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