QSDA2019模擬試験 - QSDA2019日本語試験情報 & Qlik Sense Data Architect Certification Exam - Omgzlook

Omgzlookは同業の中でそんなに良い地位を取るの原因は弊社のかなり正確な試験の練習問題と解答そえに迅速の更新で、このようにとても良い成績がとられています。そして、弊社が提供した問題集を安心で使用して、試験を安心で受けて、君のQlik QSDA2019模擬試験認証試験の100%の合格率を保証しますす。OmgzlookにたくさんのIT専門人士がいって、弊社の問題集に社会のITエリートが認定されて、弊社の問題集は試験の大幅カーバして、合格率が100%にまで達します。 Qlik QSDA2019模擬試験模擬問題集で実際の質問と正確の解答に疑問があれば、無料の練習問題集サンプルをダウンロードし、チェックしてください。我々社のQlik QSDA2019模擬試験認定試験問題集の合格率は高いのでほとんどの受験生はQSDA2019模擬試験認定試験に合格するのを保証します。 QlikのQSDA2019模擬試験試験に合格することは容易なことではなくて、良い訓練ツールは成功の保証でOmgzlookは君の試験の問題を準備してしまいました。

Qlik Sense Data Architect QSDA2019 最もよくて最新で資料を提供いたします。

OmgzlookのQlikのQSDA2019 - Qlik Sense Data Architect Certification Exam模擬試験の試験問題は同じシラバスに従って、実際のQlikのQSDA2019 - Qlik Sense Data Architect Certification Exam模擬試験認証試験にも従っています。 そしてあなたにQSDA2019 復習過去問試験に関するテスト問題と解答が分析して差し上げるうちにあなたのIT専門知識を固めています。QSDA2019 復習過去問「Qlik Sense Data Architect Certification Exam」試験は簡単ではありません。

QlikのQSDA2019模擬試験認定試験に受かるのはあなたの技能を検証することだけでなく、あなたの専門知識を証明できて、上司は無駄にあなたを雇うことはしないことの証明書です。当面、IT業界でQlikのQSDA2019模擬試験認定試験の信頼できるソースが必要です。Omgzlookはとても良い選択で、QSDA2019模擬試験の試験を最も短い時間に縮められますから、あなたの費用とエネルギーを節約することができます。

それはOmgzlookのQlik QSDA2019模擬試験問題集です。

QlikのQSDA2019模擬試験認定試験は人気があるIT認証に属するもので、野心家としてのIT専門家の念願です。このような受験生はQSDA2019模擬試験認定試験で高い点数を取得して、自分の構成ファイルは市場の需要と互換性があるように充分な準備をするのは必要です。

もし不合格になったら、私たちは全額返金することを保証します。一回だけでQlikのQSDA2019模擬試験試験に合格したい?Omgzlookは君の欲求を満たすために存在するのです。

QSDA2019 PDF DEMO:

QUESTION NO: 1
A data architect needs to load large amounts of data from a database which is continuously updated New records are added, and existing records get updated and deleted. Each record has a
LastModified field All existing records are exported into a QVD file. The data architect wants to load the records into Qlik Sense efficiently.
Which steps should the data architect take to meet these requirements?
A. 1. Load the new and updated data from the database

QUESTION NO: 2
Load the existing data from the QVD without the updated rows that have just been loaded from the database. Concatenate with the new and updated records.

QUESTION NO: 3
Load all records from the key field from the database and use an Inner Join on the previous table.
B. 1. Load the existing data from the QV
2. Load new and updated data from the database. Concatenate with the table loaded from the QVD.
3. Create a separate table for the deleted rows and use a WHERE NOT EXISTS to remove these records.
C. 1. Load the existing data from the QVD.
2. Load the new and updated data from the database without the rows that have just been loaded from the QVD. Concatenate with data from the QVD.
3. Load all records from the key field from the database and use an Inner Join on the previous table.
D. 1. Use a partial load to load new and updated data from the database.
2. Load the existing data from the QVD without the updated rows that have just been loaded from the database. Concatenate with the new and updated records.
3. Use the Peek function to remove the deleted rows.
Answer: D
2. A company generates 1 GB of ticketing data daily. The data is stored in multiple tables Business users need to see trends of tickets processed for the past two years. Users very rarely access the transaction-level data for a specific date. Only the past two years of data must be loaded which is 720
GB of data Which method should a data architect use to meet these requirements?
A. Load only aggregated data for two years and use ODAG for transaction data
B. Load only two years of data in an aggregated app and create a separate transaction app for occasional use
C. Load only two years of data and use best practices in scripting and visualization to calculate and display aggregated data
D. Load only aggregated data for two years and use Direct Discovery for transaction data
Answer: A
3. Refer to the exhibit.
A data architect needs to modify the script to ONLY load rows from Table_B when Field_1 and Field_2 are the same as in Table_A.
(For example, only the row containing A. 1. 456 should be loaded from Table_B ) Which script should the data architect use?
A)
B)
C)
D)
A. Option A
B. Option B
C. Option C
D. Option D
Answer: D

QUESTION NO: 4
A data architect completes development of a new app with two data sources Both data sources will also be used by other apps in the future The sources have different data refresh frequencies
* Source 1 Contains frequently updated data and must be refreshed hourly
* Source 2 Contains data that is transferred from a partner and must be refreshed weekly Tasks must be created to load the data sources and make sure that the new app uses the most current data The data will be stored in two QVDs Which tasks should be created to meet these requirements'?
A. 1. Schedule Task 1 to run hourly and refresh data from Source 1
2 Schedule Task 2 that is dependent on Task 1 to refresh data from Source 2
3. Schedule a task for the app that is dependent on completion of Task 2 that loads the two QVDs
B. 1. Schedule Task 1 to run hourly and refresh data from Source 1
2 Schedule Task 2 that is dependent on Task 1 to refresh data from Source 2
3 Schedule a task for the app that is dependent on completion of Tasks 1 and 2 that loads the two
QVDs
C. 1 Schedule Task 1 to run hourly and refresh data from Source 1
2 Schedule Task 2 to run weekly and refresh data from Source 2
3. Schedule a task for the app that is dependent on completion of Tasks 1 or 2 that loads the two
QVDs
D. 1 Schedule Task 1 to run hourly and refresh data from Source 1
2 Schedule Task 2 to run weekly and refresh data from Source 2
3. Schedule a task for the app that is dependent on completion of Task 2 that loads the two QVDs
Answer: D

QUESTION NO: 5
A company decides to migrate all apps from QlikView to Qlik Sense. After converting an apps:
there are several unconverted objects What should the data architect do?
A. Re-create the unconverted objects
B. Save the unconverted objects as master items
C. Remove the set analysis statements from the unconverted objects
D. Save the unconverted objects as extensions and import them into Qlik Sense
Answer: D

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Updated: May 27, 2022