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Qlik QSDA2018 Deutsch Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Data Quality and Governance | - Handling nulls and duplicates - Data validation techniques |
| Application Design | - Data layer vs presentation layer separation - Performance optimization considerations |
| Data Loading and Transformation | - Incremental load strategies - Data transformation functions - Qlik load script fundamentals |
| Data Modeling | - Star and snowflake schema design - Conceptual and logical data models - Associations and synthetic keys |
| Data Connections | - Connecting to databases and files - Data source authentication |
Qlik Sense Data Architect Certification Exam - June 2018 Release (QSDA2018 Deutsch Version) Sample Questions:
1. 
Siehe die Ausstellung.
Ein Datenarchitekt muss ein Verkaufs-Dashboard erstellen. Daten werden in einer alten Datenbank gespeichert. Die extrahierten Daten enthalten das Datum im Format 'JJJJTDMM'. Aufgrund des Quelldatumformats werden die Daten als Zahlen geladen.
Welche Funktion sollte der Datenarchitekt verwenden, um dieses Problem zu beheben?
A) Zeitstempel #
B) Datum
C) Datum #
D) Zeitstempel
2. 
Beziehen Sie sich auf die Exponate
Ein Unternehmen stellt fest, dass der Produktabsatz gesunken ist. Ein Datenarchitekt muss eine App erstellen, um die Korrelation zwischen dem gesunkenen Umsatz und den neuesten Ergebnissen der Kundenumfrage aufzuzeigen.
Welche Qlik Sense-Funktion sollte der Datenarchitekt verwenden, um diese Anforderung zu erfüllen?
A) On-Demand-App-Generierung
B) Master-Objektbibliothek
C) Abschnittszugriff
D) Assoziatives Datenmodell
3. Siehe die Ausstellung.
Ein Datenarchitekt muss die Werte für das Verkaufsjahr von "Verkauf 2016" und "Verkauf 2017" umwandeln, um nur die Jahreswerte "2016" und "201T" in der Tabelle anzuzeigen.
Mit welchen beiden Funktionen kann der Datenarchitekt dies im Skript ausführen? (Wählen Sie zwei aus.)
A)
B)
C)
D)
E)
A) Option B
B) Option C
C) Option A
D) Option E
E) Option D
4. 
Siehe die Ausstellung.
Ein Datenarchitekt überprüft eine App, die sich in der Entwicklung befindet. Die App wurde NICHT veröffentlicht. Alle Daten wurden in allen Diagrammen und KPIs validiert. Der Datenarchitekt stellt fest, dass das Datenmodell zwei Faktentabellen mit gemeinsamen Feldnamen enthält, die einen synthetischen Join verursachen. Welchen Schritt sollte der Datenarchitekt ausführen, um das Datenmodell zu korrigieren, ohne die App zu beeinträchtigen?
A) Erstellen Sie einen zusammengesetzten Schlüssel in den Verkaufs- und Budgettabellen, der aus dem Jahr, EmployeelDr und ProductID besteht
B) Führen Sie einen Mapping-Ladevorgang für die Employees-Tabelle durch und verwenden Sie ApplyMap in den Sales- und Budget-Tabellen
C) Erstellen Sie einen zusammengesetzten Schlüssel in den Tabellen "Sales" und "Budget", anstatt "Year Employee! ^" Und "ProductID" zu laden
D) LADEN Sie die Daten aus den Verkaufs- und Budgettabellen zusammen, um sie in einer einzigen Tabelle zusammenzufassen
5. Vertriebsleiter müssen einen Überblick über die bisherige Leistung erhalten und die App-Anforderungen für die Kennzahlen des laufenden Jahres hervorheben:
* Zeigt den Gesamtumsatz des laufenden Jahres an
* Der angezeigte Gesamtumsatz muss auf die Auswahl des Benutzers reagieren
Welche Variablen sollte ein Datenarchitekt erstellen, um diese Anforderungen zu erfüllen?
A)
B)
C)
D)
A) Option B
B) Option C
C) Option A
D) Option D
Solutions:
| Question # 1 Answer: C | Question # 2 Answer: B | Question # 3 Answer: B,C | Question # 4 Answer: B | Question # 5 Answer: C |
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