ちなみに、JPTestKing DP-700の一部をクラウドストレージからダウンロードできます：https://drive.google.com/open?id=1_pp96zsQLjb8zrfzsL26c_3KdviWJKxD
なぜ受験生のほとんどはJPTestKingを選んだのですか。それはJPTestKingがすごく便利で、広い通用性があるからです。JPTestKingのITエリートたちは彼らの専門的な目で、最新的なMicrosoftのDP-700試験トレーニング資料に注目していて、うちのMicrosoftのDP-700問題集の高い正確性を保証するのです。もし君はいささかな心配することがあるなら、あなたはうちの商品を購入する前に、JPTestKingは無料でサンプルを提供することができます。
| Certification Vendor: | Microsoft |
|---|---|
| Exam Name: | Implementing Data Engineering Solutions Using Microsoft Fabric |
| Exam Number: | DP-700 |
| Available Languages: | Spanish, German, French, Portuguese (Brazil), Simplified Chinese, English, Japanese |
| Exam Format: | Drag-and-drop, Multiple choice, Case studies, Scenario-based |
| Related Certifications: | Microsoft Certified: Fabric Data Engineer Associate |
| Exam Duration: | 100 minutes |
| Real Exam Qty: | 50 - 60 |
| Exam Price: | $165 USD |
| Certificate Validity Period: | 12 Months (Renewable annually) |
| Passing Score: | 700 / 1000 |
| Sample Questions: | Microsoft DP-700 Sample Questions |
| Exam Way: | Online proctored or Test center |
| Pre Condition: | No specific prior certification required. |
| Official Syllabus URL: | https://learn.microsoft.com/en-us/credentials/certifications/exams/dp-700/ |
MicrosoftのDP-700認定試験を受験する気があるのですか。この試験を受けた身の回りの人がきっと多くいるでしょう。これは非常に大切な試験で、試験に合格してDP-700認証資格を取ると、あなたは多くのメリットを得られますから。では、他の人を頼んで試験に合格する対策を教えてもらったのですか。試験に準備する方法が色々ありますが、最も高効率なのは、きっと良いツールを利用することですね。ところで、あなたにとってどんなツールが良いと言えるのですか。もちろんJPTestKingのDP-700問題集です。
| トピック | 出題範囲 |
|---|---|
| トピック 1 |
|
| トピック 2 |
|
| トピック 3 |
|
質問 # 125
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You have a Fabric eventstream that loads data into a table named Bike_Location in a KQL database. The table contains the following columns:
BikepointID
Street
Neighbourhood
No_Bikes
No_Empty_Docks
Timestamp
You need to apply transformation and filter logic to prepare the data for consumption. The solution must return data for a neighbourhood named Sands End when No_Bikes is at least 15. The results must be ordered by No_Bikes in ascending order.
Solution: You use the following code segment:
Does this meet the goal?
正解：B
解説：
This code does not meet the goal because this is an SQL-like query and cannot be executed in KQL, which is required for the database.
Correct code should look like:
質問 # 126
You need to recommend a method to populate the POS1 data to the lakehouse medallion layers.
What should you recommend for each layer? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
正解：
解説：
Explanation:
A screenshot of a computer Description automatically generated
Bronze Layer: A pipeline Copy activity
The bronze layer is used to store raw, unprocessed data. The requirements specify that no transformations should be applied before landing the data in this layer. Using a pipeline Copy activity ensures minimal development effort, built-in connectors, and the ability to ingest the data directly into the Delta format in the bronze layer.
Silver Layer: A notebook
The silver layer involves extensive data cleansing (deduplication, handling missing values, and standardizing capitalization). A notebook provides the flexibility to implement complex transformations and is well-suited for this task.
質問 # 127
HOTSPOT
You are building a data loading pattern for Fabric notebook workloads.
You have the following code segment:
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
正解：
解説：
Explanation:
質問 # 128
HOTSPOT
You have a Fabric workspace that contains two lakehouses named Lakehouse1 and Lakehouse2. Lakehouse1 contains staging data in a Delta table named Orderlines. Lakehouse2 contains a Type 2 slowly changing dimension (SCD) dimension table named Dim_Customer.
You need to build a query that will combine data from Orderlines and Dim_Customer to create a new fact table named Fact_Orders. The new table must meet the following requirements:
Enable the analysis of customer orders based on historical attributes.
Enable the analysis of customer orders based on the current attributes.
How should you complete the statement? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
正解：
解説：
質問 # 129
HOTSPOT
You have a Fabric workspace that contains a warehouse named DW1. DW1 contains the following tables and columns.
You need to create an output that presents the summarized values of all the order quantities by year and product. The results must include a summary of the order quantities at the year level for all the products.
How should you complete the code? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
正解：
解説：
Explanation:
質問 # 130
......
DP-700科目対策: https://www.jptestking.com/DP-700-exam.html
無料でクラウドストレージから最新のJPTestKing DP-700 PDFダンプをダウンロードする：https://drive.google.com/open?id=1_pp96zsQLjb8zrfzsL26c_3KdviWJKxD