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NEW QUESTION: 1
Sie haben eine Standardinstallation von SQL Server, die eine OLTP-Anwendung (Online Transaction Processing) hostet.
Benutzer berichten, dass sie insgesamt eine schlechte Abfrageleistung für die Anwendung feststellen.
Sie fragen die Wartestatistik ab und stellen fest, dass die beiden häufigsten Wartestatus CXPACKET und SOS_SCHEDULER_YIELD sind.
Sie müssen die SQL Server-Einstellungen ändern, um das Problem zu beheben, das die schlechte Abfrageleistung verursacht.
Welche beiden Einstellungen sollten Sie ändern? Jede richtige Antwort ist Teil der Lösung.
A. Mindestspeicher
B. Maximaler Parallelitätsgrad (MAXDOP)
C. Für Ad-hoc-Workloads optimieren
D. Kostenschwelle für Parallelität
E. Erhöht die SQL Server-Priorität
Answer: B,D
Explanation:
Erläuterung
A: MAXDOP absenken.
Wenn hohe CXPACKET-Werte auftreten, ist ein mögliches Problem, auch wenn die Parallelität gleichmäßig verteilt ist, wenn die Kosten für die Erstellung des parallelen Plans höher sind als die Kosten für den serialisierten Thread. Dies wird häufig übersehen und als Faustregel gilt, nach einer Änderung des maximalen Parallelitätsgrads (MAXDOP) zu greifen, indem dieser auf 1 gesetzt wird (jede einzelne Abfrage wird vom einzelnen CPU-Kern verarbeitet).
Das Konfigurieren der MAXDOP-Einstellungen auf 1 sollte die letzte Ressource sein, die zur Behebung übermäßiger CXPACKET-Wartezeiten verwendet wird.
Wenn ein hoher CXPACKET-Wert mit einem LATCH_XX und mit PAGEIOLATCH_XX oder SOS_SCHEDULER_YIELD einhergeht, ist dies ein Indikator dafür, dass die langsame / ineffiziente Parallelität selbst die eigentliche Ursache für die Leistungsprobleme ist. Wenn in einem solchen Szenario LATCH_XX die Klasse ACCESS_METHODS_DATASET_PARENT oder ACCESS_METHODS_SCAN_RANGE_GENERATOR lautet, ist die Parallelität höchstwahrscheinlich der Engpass und die eigentliche Ursache für das Problem mit der Abfrageleistung. Dies ist ein typisches Beispiel, bei dem MAXDOP reduziert werden sollte.
E: Der CTFP-Wert (Cost Threshold for Parallelism) wird in Sekunden angegeben. Dies bedeutet, dass für jede Abfrage, für die SQL Server eine Laufzeit von mehr als 5 Sekunden veranschlagt, ein paralleler Plan erstellt wird.
Um unerwünschte Parallelität zu vermeiden, könnte die CTFP-Zahl erhöht werden und nach der oben genannten Faustregel ein Mindestwert von 25. Neuere Analysen zeigen, dass 50 die optimale Mindestzahl für moderne Computer sein sollte.
Referenzen: https://www.sqlshack.com/fehlersuche-des-cxpackets-warte-type-in-sql-server/

NEW QUESTION: 2

A. account manager
B. project manager
C. engagement manager
D. sales representative
Answer: B,C
Explanation:
B: Project Manager: The project manager is what the name suggests:the project manager. Heor shekeeps the project running, allocates resources, maintains the project plan, work break down structure and is the contact person for the Customers project manager. The Project manager has a representative function and coordinates meetings withseveralteam members
D: Engagement Manager: The Engagement Manager participates only in the starting phase of a project. He is responsible to transfer a sales project into animplementation project.
* Final Licensing and Services Agreement is an activity that you execute acrossmany phases of the project. The purpose of the activity in the Diagnostic phase isto document the overall scope of the implementation and gain the agreement ofthe customer. This activity produces two key deliverables:
- The Statement of Work (SOW), which details the scope of theimplementation. - The Budgetary Estimate Proposal, which provides details of the costcomponents.
The key benefits gained by performing this activity are:
- A presentation and walk through of the SOW and Budgetary Estimate Proposal.
- The opportunity for the customer to review and provide feedback onthe SOW and
Budgetary Estimate Proposal before acceptance. http://technet.microsoft.com/en-us/aa699451.aspx

NEW QUESTION: 3
SensorDataコレクションを設計する必要があります。
何をお勧めしますか？回答するには、回答エリアで適切なオプションを選択します。
注：それぞれの正しい選択には1ポイントの価値があります。

Answer:
Explanation:

Explanation

Box 1: Eventual
Traffic data insertion rate must be maximized.
Sensor data must be stored in a Cosmos DB named treydata in a collection named SensorData With Azure Cosmos DB, developers can choose from five well-defined consistency models on the consistency spectrum. From strongest to more relaxed, the models include strong, bounded staleness, session, consistent prefix, and eventual consistency.
Box 2: License plate
This solution reports on all data related to a specific vehicle license plate. The report must use data from the SensorData collection.
References:
https://docs.microsoft.com/en-us/azure/cosmos-db/consistency-levels
Topic 3, Case study
This is a case study. Case studies are not timed separately. You can use as much exam time as you would like to complete each case. However, there may be additional case studies and sections on this exam. You must manage your time to ensure that you are able to complete all questions included on this exam in the time provided.
To answer the questions included in a case study, you will need to reference information that is provided in the case study. Case studies might contain exhibits and other resources that provide more information about the scenario that is described in the case study. Each question is independent of the other question on this case study.
At the end of this case study, a review screen will appear. This screen allows you to review your answers and to make changes before you move to the next sections of the exam. After you begin a new section, you cannot return to this section.
To start the case study
To display the first question on this case study, click the button. Use the buttons in the left pane to explore the content of the case study before you answer the questions. Clicking these buttons displays information such as business requirements, existing environment, and problem statements. If the case study has an All Information tab, note that the information displayed is identical to the information displayed on the subsequent tabs. When you are ready to answer a question, click the button to return to the question.
Background
Current environment
The company has the following virtual machines (VMs):

Requirements
Storage and processing
You must be able to use a file system view of data stored in a blob.
You must build an architecture that will allow Contoso to use the DB FS filesystem layer over a blob store.
The architecture will need to support data files, libraries, and images. Additionally, it must provide a web-based interface to documents that contain runnable command, visualizations, and narrative text such as a notebook.
CONT_SQL3 requires an initial scale of 35000 IOPS.
CONT_SQL1 and CONT_SQL2 must use the vCore model and should include replicas. The solution must support 8000 IOPS.
The storage should be configured to optimized storage for database OLTP workloads.
Migration
* You must be able to independently scale compute and storage resources.
* You must migrate all SQL Server workloads to Azure. You must identify related machines in the on-premises environment, get disk size data usage information.
* Data from SQL Server must include zone redundant storage.
* You need to ensure that app components can reside on-premises while interacting with components that run in the Azure public cloud.
* SAP data must remain on-premises.
* The Azure Site Recovery (ASR) results should contain per-machine data.
Business requirements
* You must design a regional disaster recovery topology.
* The database backups have regulatory purposes and must be retained for seven years.
* CONT_SQL1 stores customers sales data that requires ETL operations for data analysis. A solution is required that reads data from SQL, performs ETL, and outputs to Power BI. The solution should use managed clusters to minimize costs. To optimize logistics, Contoso needs to analyze customer sales data to see if certain products are tied to specific times in the year.
* The analytics solution for customer sales data must be available during a regional outage.
Security and auditing
* Contoso requires all corporate computers to enable Windows Firewall.
* Azure servers should be able to ping other Contoso Azure servers.
* Employee PII must be encrypted in memory, in motion, and at rest. Any data encrypted by SQL Server must support equality searches, grouping, indexing, and joining on the encrypted data.
* Keys must be secured by using hardware security modules (HSMs).
* CONT_SQL3 must not communicate over the default ports
Cost
* All solutions must minimize cost and resources.
* The organization does not want any unexpected charges.
* The data engineers must set the SQL Data Warehouse compute resources to consume 300 DWUs.
* CONT_SQL2 is not fully utilized during non-peak hours. You must minimize resource costs for during non-peak hours.